Updated on 2025/08/11

写真a

 
Nitta Tomoko
 
Organization
Faculty of Science and Engineering Associate Professor
Other responsible organization
Civil, Human and Environmental Science and Engineering Course of Graduate School of Science and Engineering, Master's Program
Contact information
The inquiry by e-mail is 《here
External link

Degree

  • 博士(工学) ( 東京大学 )

  • 修士(工学) ( 東京大学 )

Education

  • 2012.12
     

    The University of Tokyo   doctor course   completed

  • 2009.3
     

    The University of Tokyo   master course   completed

  • 2007.3
     

    Hokkaido University   graduated

Research History

  • 2025.4 - Now

    Chuo University   Faculty of Science and Engineering   Associate Professor

  • 2022.4 - 2025.3

    The University of Tokyo   Institute of Industrial Science

  • 2020.3 - 2022.3

    The University of Tokyo   Institute of Industrial Science   Assistant Professor

  • 2016.9 - 2020.2

    The University of Tokyo   Institute of Industrial Science   Specially Appointed Assistant Professor

  • 2016.4 - 2016.8

    The University of Tokyo   Institute of Industrial Science

  • 2014.7 - 2016.3

    The University of Tokyo   Atmosphere and Ocean Research Institute

  • 2013.1 - 2014.6

    National Institute of Polar Research

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Research Areas

  • Natural Science / Atmospheric and hydrospheric sciences

  • Social Infrastructure (Civil Engineering, Architecture, Disaster Prevention) / Hydroengineering

Papers

  • Comparison of ground temperature and permafrost conditions in the Arctic simulated by land surface process models of different complexity Reviewed International coauthorship

    Junko MORI, Kazuyuki SAITO, Shin MIYAZAKI, Hirokazu MACHIYA, Takeshi ISE, Tetsuo SUEYOSHI, Takeshi YAMAZAKI, Yoshihiro IIJIMA, Hiroki IKAWA, Ryouta O’OISHI, Takeshi OHTA, Genki KATATA, Ayumi KOTANI, Atsushi SATO, Hisashi SATO, Atsuko SUGIMOTO, Rikie SUZUKI, Katsunori TANAKA, Tomoko NITTA, Tomohiro HAJIMA, Eleanor BURKE, Hotaek PARK

    Bulletin of Glaciological Research   42   69 - 94   2024

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Japanese Society of Snow and Ice  

    DOI: 10.5331/bgr.23a02

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  • On the predictability of turbulent fluxes from land: PLUMBER2 MIP experimental description and preliminary results Reviewed International coauthorship

    Gab Abramowitz, Anna Ukkola, Sanaa Hobeichi, Jon Cranko Page, Mathew Lipson, Martin De Kauwe, Sam Green, Claire Brenner, Jonathan Frame, Grey Nearing, Martyn Clark, Martin Best, Peter Anthoni, Gabriele Arduini, Souhail Boussetta, Silvia Caldararu, Kyeungwoo Cho, Matthias Cuntz, David Fairbairn, Craig Ferguson, Hyungjun Kim, Yeonjoo Kim, Jürgen Knauer, David Lawrence, Xiangzhong Luo, Sergey Malyshev, Tomoko Nitta, Jerome Ogee, Keith Oleson, Catherine Ottlé, Phillipe Peylin, Patricia de Rosnay, Heather Rumbold, Bob Su, Nicolas Vuichard, Anthony Walker, Xiaoni Wang-Faivre, Yunfei Wang, Yijian Zeng

    Biogeosciences   21   5517 - 5538   2024

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Copernicus GmbH  

    Abstract. Accurate representation of the turbulent exchange of carbon, water, and heat between the land surface and the atmosphere is critical for modelling global energy, water, and carbon cycles, both in future climate projections and weather forecasts. We describe a Model Intercomparison Project (MIP) that compares the surface turbulent heat flux predictions of around 20 different land models provided with in-situ meteorological forcing, evaluated with measured surface fluxes using quality-controlled data from 170 eddy-covariance based flux tower sites. Several out-of-sample empirical model predictions of site fluxes are used as benchmarks to quantify the degree to which land model performance could improve across a broad range of metrics. The performance discrepancy between empirical and mechanistic model predictions also provides a potential pathway to understand sources of model error. Sites with unusual behaviour, complicated processes, poor data quality or uncommon flux magnitude will be more difficult to predict for both mechanistic and empirical models. Results suggest that latent heat flux and net ecosystem exchange of CO2 are better predicted by land models than sensible heat flux, which at least conceptually would appear to have fewer physical processes controlling it. Land models that are implemented in Earth System Models also appear to perform notably better than stand-alone ecosystem (including demographic) models, at least in terms of the fluxes examined here. Flux tower data quality is also explored as an uncertainty source, with the difference between energy-balance corrected versus raw fluxes examined, as well as filtering for low wind speed periods. Land model performance does not appear to improve with energy-balance corrected data, and indeed some results raised questions about whether the correction process itself was appropriate. In both cases results were broadly consistent, with simple out-of-sample empirical models, including linear regression, comfortably outperforming mechanistic land models. The PLUMBER2 approach, and its openly available data, enable precise isolation of the locations and conditions in which model developers can know that a given land model can improve, allowing information pathways and discrete parametrisations in models to be identified and targeted for model development.

    DOI: 10.5194/bg-21-5517-2024

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  • Sensitivity of the Northern Hemisphere Warming Trend to Snowpack Variability Reviewed

    Yukihiko Onuma, Kei Yoshimura, Tomoko Nitta, Hiroaki Tatebe, Masahiro Watanabe

    Journal of Climate   37 ( 22 )   5751 - 5768   2024

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:American Meteorological Society  

    Abstract

    A marked decrease in land surface snow cover within the Northern Hemisphere under global warming will warm the atmosphere near the land surface. However, minimal information exists regarding the contribution of snowpack variation to interannual surface air temperature variability. The current study investigates the effects caused by snow water equivalent (SWE) change on surface air temperature (SAT). To this end, an SWE pacemaker experiment of land–atmosphere coupling (AMIP-type) is undertaken for the period 1901–2010, during which the Model for Interdisciplinary Research on Climate, version 6 (MIROC6), atmospheric general circulation model’s SWE is continuously nudged toward SWE derived from an land-only (LMIP-type) experiment. Compared to a reference MIROC6 simulation without SWE nudging, the spatial correlation of 1980–2010 interannual SWE trends in our experiment with those in GlobSnow observation data increased by 0.31 over the Northern Hemisphere. Similarly, the linear correlation of interannual SAT with reanalysis data is greater by 0.04, 0.04, 0.08, and 0.07 for autumn, winter, spring, and summer over the region from the reference experiment, respectively. It is shown that due to this SWE nudging, the modeled interannual SAT change in the Northern Hemisphere becomes more accurate. Through a surface energy budget analysis, changes in SAT are attributed to changes in surface albedo, soil evaporation, and soil temperature. Areas of greater contribution of SWE variability to SAT variability appear to shift from south to north areas as snow melts. These results highlight surface albedo, snow hydrological, and land heat storage effects through which the SWE interannual trend on the land surface significantly controls atmospheric air temperature variability near the land surface.

    Significance Statement

    This study investigates the contribution of land snowpack to surface air temperature in the Northern Hemisphere using a climate model updated with observation-based estimates of snow water equivalent. A marked decrease in snowpack under global warming is expected to warm the atmosphere near the land surface. Variations in surface albedo, soil evaporation, and soil temperature through the snow–soil–atmosphere processes during the early snow-melting season are crucial for accurately simulating surface air temperature in the Northern Hemisphere. Moreover, terrestrial snowpack is a significant factor in global warming rates.

    DOI: 10.1175/jcli-d-23-0496.1

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    Other Link: https://journals.ametsoc.org/downloadpdf/journals/clim/37/22/JCLI-D-23-0496.1.xml

  • A fast physically-guided emulator of MATSIRO land surface model Reviewed

    Roman Olson, Tomoko Nitta, Kei Yoshimura

    Journal of Hydrology   634   131093 - 131093   2024

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Elsevier BV  

    DOI: 10.1016/j.jhydrol.2024.131093

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  • 統合陸域シミュレータ(ILS)と統合評価モデル(IAM)の連成シミュレーションによる水ストレス評価

    伏尾佳悟, 六藤雄一, 福田哲也, 塚田洋平, 新田友子, 吉兼隆生, 山崎大, 芳村圭, 丸吉政博

    生産研究   75 ( 2 )   135 - 140   2023

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    Language:Japanese  

    DOI: 10.11188/seisankenkyu.75.135

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  • Coupled Simulation by a Climate Model MIROC with Integrated Land Simulator

    Tomoko Nitta, Takashi Arakawa, Misako Hatono, Akira Takeshima, Dai Yamazaki, Kei Yoshimura

    27   A-12-01   2022.6

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  • 次世代地球システムモデルに向けた統合陸域シミュレータの開発 土壌物理プロセスに着目して Reviewed

    芳村圭, 新田友子

    土壌の物理性   151   27 - 34   2022

  • The Nonhydrostatic ICosahedral Atmospheric Model for CMIP6 HighResMIP simulations (NICAM16-S): experimental design, model description, and impacts of model updates Reviewed

    Chihiro Kodama, Tomoki Ohno, Tatsuya Seiki, Hisashi Yashiro, Akira T. Noda, Masuo Nakano, Yohei Yamada, Woosub Roh, Masaki Satoh, Tomoko Nitta, Daisuke Goto, Hiroaki Miura, Tomoe Nasuno, Tomoki Miyakawa, Ying-Wen Chen, Masato Sugi

    Geoscientific Model Development   14 ( 2 )   795 - 820   2021.2

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Copernicus GmbH  

    DOI: 10.5194/gmd-14-795-2021

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  • Scientific and human errors in a snow model intercomparison Reviewed International coauthorship

    Cecile B. Menard, Richard Essery, Gerhard Krinner, Gabriele Arduini, Paul Bartlett, Aaron Boone, Claire Brutel-Vuilmet, Eleanor Burke, Matthias Cuntz, Yongjiu Dai, Bertrand Decharme, Emanuel Dutra, Xing Fang, Charles Fierz, Yeugeniy Gusev, Stefan Hagemann, Vanessa Haverd, Hyungjun Kim, Matthieu Lafaysse, Thomas Marke, Olga Nasonova, Tomoko Nitta, Masashi Niwano, John Pomeroy, Gerd Schädler, Vladimir Semenov, Tatiana Smirnova, Ulrich Strasser, Sean Swenson, Dmitry Turkov, Nander Wever, Hua Yuan

    Bulletin of the American Meteorological Society   1 - 46   2021.1

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:American Meteorological Society  

    <title>Capsule</title>
    The latest snow model intercomparison identified the same modelling issues as previous iterations over 23 years. Lack of new insights are attributed partly to human errors and intercomparison projects design.

    DOI: 10.1175/bams-d-19-0329.1

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  • Represent hill-valley moisture contrast by land surface model with lateral subsurface flow Reviewed

    Kota Adachi, Dai Yamazaki, Tomoko Nitta

    77   I_223 - I_228   2021

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  • Correction of the surface water formation parameter used in a malaria transmission model and future malaria projections for Africa Reviewed International coauthorship

    Inna Syafarina, Arnida Lailatul Latifah, Yosuke Miura, Tomoko Nitta, Kei Yoshimura

    Hydrological Research Letters   15 ( 4 )   98 - 104   2021

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Japan Society of Hydrology and Water Resources  

    DOI: 10.3178/hrl.15.98

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  • Improvement of soil moisture scheme with horizontal and vertical soil parameter distribution in a land surface model Reviewed

    Kotaro Hamada, Dai Yamazaki, Tomoko Nitta

    77   I_229 - I_234   2021

  • Snow cover duration trends observed at sites and predicted by multiple models Reviewed International coauthorship

    Richard Essery, Hyungjun Kim, Libo Wang, Paul Bartlett, Aaron Boone, Claire Brutel-Vuilmet, Eleanor Burke, Matthias Cuntz, Bertrand Decharme, Emanuel Dutra, Xing Fang, Yeugeniy Gusev, Stefan Hagemann, Vanessa Haverd, Anna Kontu, Gerhard Krinner, Matthieu Lafaysse, Yves Lejeune, Thomas Marke, Danny Marks, Christoph Marty, Cecile Menard, Olga Nasonova, Tomoko Nitta, John Pomeroy, Gerd Schädler, Vladimir Semenov, Tatiana Smirnova, Sean Swenson, Dmitry Turkov, Nander Wever, Hua Yuan

    Cryosphere   14 ( 12 )   4687 - 4698   2020.12

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Copernicus GmbH  

    DOI: 10.5194/tc-14-4687-2020

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  • Development of Integrated Land Simulator Reviewed

    Tomoko Nitta, Takashi Arakawa, Misako Hatono, Akira Takeshima, Kei Yoshimura

    Progress in Earth and Planetary Science   7 ( 1 )   2020.12

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    Authorship:Lead author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Springer Science and Business Media LLC  

    <title>Abstract</title>
    Accurate simulations of land processes are crucial for many purposes, such as climate simulation, weather, flood, and drought prediction, and climate change impact assessment studies. In this paper, we present a new land simulator called the Integrated Land Simulator (ILS). The ILS consists of multiple models that represent processes related to land (hereafter, referred to as “land models”). They are coupled by a general-purpose coupler, Jcup, and executed using the Multiple Program Multiple Data approach. Currently, ILS includes a physical land surface model, the Minimal Advanced Treatments of Surface Interaction and Runoff model, and a hydrodynamic model, the Catchment-based Macro-scale Floodplain model, and the inclusion of additional land models is planned. We conducted several test simulations to evaluate the computational speed and scalability and the basic physical performance of the ILS. The results will become a benchmark for further development.

    DOI: 10.1186/s40645-020-00383-7

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    Other Link: http://link.springer.com/article/10.1186/s40645-020-00383-7/fulltext.html

  • Model improvement and future projection of permafrost processes in a global land surface model Reviewed

    Tokuta Yokohata, Kazuyuki Saito, Kumiko Takata, Tomoko Nitta, Yusuke Satoh, Tomohiro Hajima, Tetsuo Sueyoshi, Go Iwahana

    Progress in Earth and Planetary Science   7 ( 1 )   2020.12

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1186/s40645-020-00380-w

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    Other Link: http://link.springer.com/article/10.1186/s40645-020-00380-w/fulltext.html

  • MIROC-INTEG-LAND version 1: a global biogeochemical land surface model with human water management, crop growth, and land-use change Reviewed

    Tokuta Yokohata, Tsuguki Kinoshita, Gen Sakurai, Yadu Pokhrel, Akihiko Ito, Masashi Okada, Yusuke Satoh, Etsushi Kato, Tomoko Nitta, Shinichiro Fujimori, Farshid Felfelani, Yoshimitsu Masaki, Toshichika Iizumi, Motoki Nishimori, Naota Hanasaki, Kiyoshi Takahashi, Yoshiki Yamagata, Seita Emori

    GEOSCIENTIFIC MODEL DEVELOPMENT   13 ( 10 )   4713 - 4747   2020.10

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    DOI: 10.5194/gmd-13-4713-2020

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  • A development of reduction scenarios of the short-lived climate pollutants (SLCPs) for mitigating global warming and environmental problems Reviewed

    Teruyuki Nakajima, Toshimasa Ohara, Toshihiko Masui, Toshihiko Takemura, Kei Yoshimura, Daisuke Goto, Tatsuya Hanaoka, Syuichi Itahashi, Gakuji Kurata, Jun-ichi Kurokawa, Takashi Maki, Yuji Masutomi, Makiko Nakata, Tomoko Nitta, Xerxes Seposo, Kengo Sudo, Chieko Suzuki, Kentaroh Suzuki, Haruo Tsuruta, Kayo Ueda, Shingo Watanabe, Yong Yu, Keiya Yumimoto, Shuyun Zhao

    PROGRESS IN EARTH AND PLANETARY SCIENCE   7 ( 1 )   2020.7

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    DOI: 10.1186/s40645-020-00351-1

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  • The non-hydrostatic global atmospheric model for CMIP6 HighResMIP simulations (NICAM16-S): Experimental design, model description, and sensitivity experiments

    Chihiro Kodama, Tomoki Ohno, Tatsuya Seiki, Hisashi Yashiro, Akita T. Noda, Masuo Nakano, Yohei Yamada, Woosub Roh, Masaki Satoh, Tomoko Nitta, Daisuke Goto, Hiroaki Miura, Tomoe Nasuno, Tomoki Miyakawa, Ying-Wen Chen, Masato Sugi

    2020.4

  • Description and basic evaluation of simulated mean state, internal variability, and climate sensitivity in MIROC6 Reviewed

    Hiroaki Tatebe, Tomoo Ogura, Tomoko Nitta, Yoshiki Komuro, Koji Ogochi, Toshihiko Takemura, Kengo Sudo, Miho Sekiguchi, Manabu Abe, Fuyuki Saito, Minoru Chikira, Shingo Watanabe, Masato Mori, Nagio Hirota, Yoshio Kawatani, Takashi Mochizuki, Kei Yoshimura, Kumiko Takata, Ryouta O'ishi, Dai Yamazaki, Tatsuo Suzuki, Masao Kurogi, Takahito Kataoka, Masahiro Watanabe, Masahide Kimoto

    GEOSCIENTIFIC MODEL DEVELOPMENT   12 ( 7 )   2727 - 2765   2019.7

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    DOI: 10.5194/gmd-12-2727-2019

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  • ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks Reviewed International coauthorship

    Gerhard Krinner, Chris Derksen, Richard Essery, Mark Flanner, Stefan Hagemann, Martyn Clark, Alex Hall, Helmut Rott, Claire Brutel-Vuilmet, Hyungjun Kim, Cecile B. Menard, Lawrence Mudryk, Chad Thackeray, Libo Wang, Gabriele Arduini, Gianpaolo Balsamo, Paul Bartlett, Julia Boike, Aaron Boone, Frederique Cheruy, Jeanne Colin, Matthias Cuntz, Yongjiu Dai, Bertrand Decharme, Jeff Derry, Agnes Ducharne, Emanuel Dutra, Xing Fang, Charles Fierz, Josephine Ghattas, Yeugeniy Gusev, Vanessa Haverd, Anna Kontu, Matthieu Lafaysse, Rachel Law, Dave Lawrence, Weiping Li, Thomas Marke, Danny Marks, Martin Menegoz, Olga Nasonova, Tomoko Nitta, Masashi Niwano, John Pomeroy, Mark S. Raleigh, Gerd Schaedler, Vladimir Semenov, Tanya G. Smirnova, Tobias Stacke, Ulrich Strasser, Sean Svenson, Dmitry Turkov, Tao Wang, Nander Wever, Hua Yuan, Wenyan Zhou, Dan Zhu

    GEOSCIENTIFIC MODEL DEVELOPMENT   11 ( 12 )   5027 - 5049   2018.12

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.5194/gmd-11-5027-2018

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  • Energy-water budget analysis of an Arctic terrestrial models intercomparison GTMIP Reviewed

    80 ( 2 )   159 - 174   2018.3

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    Language:Japanese  

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  • Biogeophysical Impacts of Land-Use Change on Climate Extremes in Low-Emission Scenarios: Results From HAPPI-Land Reviewed International coauthorship

    Annette L. Hirsch, Benoit P. Guillod, Sonia I. Seneviratne, Urs Beyerle, Lena R. Boysen, Victor Brovkin, Edouard L. Davin, Jonathan C. Doelman, Hyungjun Kim, Daniel M. Mitchell, Tomoko Nitta, Hideo Shiogama, Sarah Sparrow, Elke Stehfest, Detlef P. van Vuuren, Simon Wilson

    EARTHS FUTURE   6 ( 3 )   396 - 409   2018.3

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1002/2017EF000744

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  • IMPACT OF SHORT-LIVED CLIMATE POLLUTANTS ON TERRESTRIAL WATER CIRCULATION Reviewed

    YOSHIMURA Kei, NITTA Tomoko, ISHITSUKA Yuta, TADA Masataka, SUZUKI Kentaro, TAKEMURA Toshihiko

    Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering)   74 ( 4 )   I_217 - I_222   2018

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    Language:Japanese   Publisher:Japan Society of Civil Engineers  

    &nbsp;In this study, we investigated the impact of black carbon, BC, as one of Short-Lived Climate Pollutants or SLCP on terrestrial water circulation, in addition to that of sulfur dioxide, SO2, with the terrestrial offline simulation framework. Results are shown as follows: 1) Both BC and SO2 decrease the global precipitation whereas decrease in runoff is relatively large with BC. 2) However, spatial distributions of the change in precipitation and runoff are quite patchy and different in BC and SO2. 3) Decrease in BC emission would relax the global water stress. 4) No matter decrease or increase, change in BC or SO2 emission would cuase increase the risk of severe flood exposure.

    DOI: 10.2208/jscejhe.74.I_217

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  • A CENTURY-LONG GLOBAL OFFLINE SIMULATION TOWARD LAND SURFACE, SNOW, SOIL-MOISTURE MODEL INTERCOMPARISON PROJECT (LS3MIP) Reviewed

    ONUMA Yukihiko, KIM Hyungjun, YOSHIMURA Kei, NITTA Tomoko, O'ISHI Ryouta, TAKATA Kumiko

    Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering)   74 ( 5 )   I_43 - I_48   2018

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    <p> LS3MIP (The Land Surface, Snow and Soil moisuture Model Intercomparison Project) has been approved as Coupled Model Intercomparison Project Phase 6 (CMIP6) endorsed MIP to investigate climate forcing and land feedback. Land modeling groups of international community are preparing their model experiments under CMIP6 corrdination. In this study, we describe the overview of the model experiment design of LS3MIP. Also, we introduce the results from our test drive using MATSIRO for checking whether the experiment configuration accords with the protocol. The results show that inter-annual trends of runoff, snow cover fraction, soil moisture and evapotranspiration in global scale are reproduced observational variability properly. Results suggest that water balance tend to decrease around Himalaya Mountains in the 20th century. This is probably due to negative trend of precipitation in the region.</p>

    DOI: 10.2208/jscejhe.74.5_I_43

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  • Impact of Arctic Wetlands on the Climate System: Model Sensitivity Simulations with the MIROC5 AGCM and a Snow-Fed Wetland Scheme Reviewed

    Tomoko Nitta, Kei Yoshimura, Ayako Abe-Ouchi

    JOURNAL OF HYDROMETEOROLOGY   18 ( 11 )   2923 - 2936   2017.11

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1175/JHM-D-16-0105.1

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  • VALIDATION OF RIVER DISCHARGE FROM A TERRESTRIAL MODEL WITH 1KM RESOLUTION OVER JAPAN Reviewed

    YABU Yutaro, YOSHIMURA Kei, KIM Hyungjun, NITTA Tomoko, HATONO Misako, MUKAIDA Ki-yotaka, KACHI Misako, OKI Taikan

    Journal of Japan Society of Civil Engineers, Ser. G (Environmental Research)   73 ( 5 )   I_71 - I_79   2017

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    Language:Japanese   Publisher:Japan Society of Civil Engineers  

    &nbsp;1km-resolution terrestrial model over Japan is developped to build a high quality river discharge forecasting system. Effects of model resolution and soil type dataset are investigated by a sensitivity experiment concerning resolution and soil type dataset. The experiment period is 2 years of 2014, 2015 and analysis is conducted for 6 river basins in Japan. The terrestrial model is consists of MATSIRO, a land surface model and CaMa-Flood, a river routing model. Peak discharge and low discharge representation are improved by using a more detailed soil type dataset. In 9 of 12 experiments, ratios of model discharge to observation are improved by 1-14% and in all experiments, RMSE are decreased . Also, using high resolution experiment settings showed lower RMSE in 10 of 12 experiments.

    DOI: 10.2208/jscejer.73.I_71

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  • The GRENE-TEA model intercomparison project (GTMIP): overview and experiment protocol for Stage 1 Reviewed

    S. Miyazaki, K. Saito, J. Mori, T. Yamazaki, T. Ise, H. Arakida, T. Hajima, Y. Iijima, H. Machiya, T. Sueyoshi, H. Yabuki, E. J. Burke, M. Hosaka, K. Ichii, H. Ikawa, A. Ito, A. Kotani, Y. Matsuura, M. Niwano, T. Nitta, R. O'ishi, T. Ohta, H. Park, T. Sasai, A. Sato, H. Sato, A. Sugimoto, R. Suzuki, K. Tanaka, S. Yamaguchi, K. Yoshimura

    GEOSCIENTIFIC MODEL DEVELOPMENT   8 ( 9 )   2841 - 2856   2015

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    DOI: 10.5194/gmd-8-2841-2015

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  • A SENSITIVITY STUDY OF A SIMPLE WETLAND SCHEME FOR IMPROVEMENTS IN THE REPRESENTATION OF SURFACE HYDROLOGY AND DECREASE OF SURFACE AIR TEMPERATURE BIAS Reviewed

    NITTA Tomoko, YOSHIMURA Kei, ABE-OUCHI Ayako

    Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering)   71 ( 4 )   I_955 - I_960   2015

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    Authorship:Lead author   Language:Japanese   Publisher:Japan Society of Civil Engineers  

    Many lakes and wetlands exist in the Arctic. Their storage effects have the potential to improve the surface hydrology simulation and to decrease the surface air temperature bias. There are, however, only few global land surface models that incorporate wetlands and the effects upon climate are not yet well investigated. In the present study, we examine these effects through sensitivity experiments using MATSIRO land surface model with a simple wetland scheme that stores part of snowmelt. First, we conduct offline global land simulations and evaluate the results using multiple observations. The result shows that the river discharge simulation in the major Arctic river basins and the underestimation of evapotranspiration are improved. Further, we conduct a series of on-line AGCM experiments using MIROC5 with climatological monthly SST and sea ice boundary conditions. The result shows that the impact of wetland scheme upon the reduction of near surface air temperature in summer is significant.

    DOI: 10.2208/jscejhe.71.I_955

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  • Representing Variability in Subgrid Snow Cover and Snow Depth in a Global Land Model: Offline Validation Reviewed International coauthorship

    T. Nitta, K. Yoshimura, K. Takata, R. O'ishi, T. Sueyoshi, S. Kanae, T. Oki, A. Abe-Ouchi, G. E. Liston

    JOURNAL OF CLIMATE   27 ( 9 )   3318 - 3330   2014.5

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1175/JCLI-D-13-00310.1

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  • ENSEMBLE EXPERIMENTS TO QUANTIFY UNCERTAINTY IN GLOBAL SNOW SIMULATION Reviewed

    NITTA Tomoko, YOSHIMURA Kei, ANNAN James D, HARGREAVES Julia C, KANAE Shinjiro, OKI Taikan

    Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering)   69 ( 4 )   I_439 - I_444   2013

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    Authorship:Lead author   Language:Japanese   Publisher:Japan Society of Civil Engineers  

    Global- and continental-scale snow simulation has been used to produce snow estimates and attribute the change of snow into hydrological variables. However, uncertainties in global- and continental-scale snow simulation due to model structure, model parameters, and meteorological forcing has not been well documented. In the present study, we used MATSIRO land surface model and conducted ensemble simulations for snow, i.e., perturbed parameter ensemble simulation and multi precipitation ensemble simulation. The results show that uncertainties in parameters are larger in the melting season than accumulation season and uncertainties in precipitation are large in accumulation seasons. The uncertainties of parameters in melting season are comparable to that of precipitation.

    DOI: 10.2208/jscejhe.69.I_439

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  • REPRESENTATION OF SUBGRID SCALE SNOW COVER AND SNOW DEPTH VARIABILITIES IN A GLOBAL LAND MODEL Reviewed

    NITTA Tomoko, YOSHIMURA Kei, TAKATA Kumiko, O'ISHI Ryouta, KANAE Shinjiro, OKI Taikan

    Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering)   68 ( 4 )   I_325 - I_330   2012

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    Authorship:Lead author   Language:Japanese   Publisher:Japan Society of Civil Engineers  

    We incorporate a subgrid snow cover parameterization, Subgrid SNOW Distribution (SSNOWD) model, into the land surface model MATSIRO. SSNOWD assumes the subgrid snow water equivalent depth distribution following the lognormal distribution function, and accounts for the subgrid snow physical processes. The 29-year simulation is conducted forced by the observation and reanalysis based meteorological data. The results are compared with satellite based observational dataset and the intra- and inter-annual snow cover fraction variations are validated. The effects of incorporating SSNOWD on hydrological properties are also evaluated. The results show that SSNOWD improves the intra- and inter-annual variability of snow cover area in Northern Hemisphere especially in the accumulation season and the effect of those changes in snow cover on the other land surface properties are not negligible.

    DOI: 10.2208/jscejhe.68.I_325

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  • Characteristics of flood caused by the Typhoon No. 0909 in August 2009 Reviewed

    NAKAMURA Shinichirou, WATANABE Satoshi, NITTA Tomoko, INABA Kazutaka, MINOSHIMA Daigo, OKI Taikan

    Journal of Japan Society of Hydrology & Water Resources   23 ( 3 )   255 - 260   2010.5

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  • 流量確率指数を用いた地球温暖化に伴う日本域洪水リスク変化の推定 Reviewed

    新田 友子, 鼎 信次郎, 沖 大幹

    水工学論文集   54   451 - 456   2010

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  • DETAILED ANALYSIS ON THE VIRTUAL WATER IMPORT TO JAPAN FOCUSING ON THE ORIGIN OF WATER SUPPLY Reviewed

    Inuzuka Toshiyuki, Nitta Tomoko, Hanasaki Naota, Kanae Shinjiro, Oki Taikan

    PROCEEDINGS OF HYDRAULIC ENGINEERING   ( 52 )   367 - 372   2008

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    Publisher:Japan Society of Civil Engineers  

    Water footprints, or the total consumed water toproduce commodities, were estimated for imported food to Japan, using an integrated globalwater resources model that consists of a physically basedhydrological module and a cropgrowth module. In order to analyze the sustainability of water resources, the model was enhanced to quantify fourmajor sources: precipitation, river, reservoirs, and non-renewable groundwater. The results showed that the water footprint of Japan was 42.7km3/yr. The virtualwater, or the required amount of water that is needed toproduce the imported food domestically, wasestimated 62.7 km3/yr. Therefore, it indicates 20.0 km3/yr of water was saved through international trades. Among the total water footprint, 7.3 km3/yr (17%) was originated irrigation water, and 2.9 km3/yr (6.8%) was non-renewable groundwater.

    DOI: 10.2208/prohe.52.367

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  • Importance of wind-induced undercatch adjustment in a gauge-based analysis of daily precipitation over Japan Reviewed

    Utsumi Nobuyuki, Kanae Shinjiro, Kim Hyungjun, Seto Shinta, Oki Taikan, Nitta Tomoko, Hirabayashi Yukiko

    Hydrological Research Letters   2 ( 2 )   47 - 51   2008

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    Language:English   Publisher:Japan Society of Hydrology and Water Resources (JSHWR) / Japanese Association of Groundwater Hydrology (JAGH) / Japanese Association of Hydrological Sciences (JAHS) / Japanese Society of Physical Hydrology (JSPH)  

    We produced a new gauge-based analysis of daily precipitation over Japan from 1981 to 2000 on a 0.01&deg; grid. Wind-induced undercatch was adjusted at each observation station, and orographic effects were considered in the process of spatial interpolation from station data to the gridded product. The resulting gridded gauge-based analysis of precipitation was validated against observed river discharge data. The validation demonstrated that the product is reasonable, mostly because of the undercatch adjustment. Based on the resulting product, Japan receives nearly 2000 mm/year of precipitation on average, which is approximately 10% larger than commonly thought.

    DOI: 10.3178/hrl.2.47

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MISC

Presentations

  • Evolution of Levee Systems and Human-Flood Interactions: A Historical Approach Using Sociohydrological Modeling in the Kiso River Basin, Japan

    Shinichiro Nakamura, Fuko Nakai, Tomoko Nitta, Taikan Oki

    The 2nd International Sociohydrology Conference  ( Tokyo )   2025.7 

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  • Global urban climate and building energy simulations by SLUCM+BEM

    Takane, Y., T. Nitta, S. A. Adachi, K. Yoshimura, T. Arakawa, M. Nakano, M. Nakayoshi, S. Onomura, B. Crawford

    12th International Conference on Urban Climate  2025.7 

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  • Resolving Hillslope Land Cover Heterogeneity Improves Simulation of Terrestrial Energy and Water Budgets

    Li, S., D. Yamazaki, T. Nitta, K. Yoshimura

    AOGS 2025  2025.7 

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  • Evaluating the Skill of ILS Emulator in Regional High-resolution Hydrologic Simulations

    Olson, R., K. Yoshimura, T. Nitta

    AOGS 2025  2025.7 

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  • Development of the emulator of Integrated Land Simulator for global hydrologic simulations

    Roman Olson, Kei Yoshimura, Tomoko Nitta, Takashi Arakawa

    Japan Geoscience Union Meeting 2025  2025.5 

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  • 日本における現在の山岳永久凍土分布と将来予測:陸面物理過程モデルと観測による推定

    横畠徳太, 岩花剛, 斉藤和之, 末吉哲雄, 荒川隆, 新田友子, 大沼友貴彦, Melnikova Irina, 石崎, 紀子, 大久保遥斗, 澤悠夏, 高田久美子

    Japan Geoscience Union Meeting 2025  ( 千葉 )   2025.5 

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  • Two-way coupling between an LSM and an IAM for assessing the future global water stress

    Fukuda T., Y. Muto, H. Kawata, T. Nitta, R. Olson, K. Yoshimura

    EGU General Assembly 2025  2025.4 

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  • Global 1-km terrestrial simulations with Integrated Land Simulator

    Nitta, T., A. Takeshima, T. Arakawa, K. Yoshimura

    AGU24  ( Washington, D.C. )   2024.12 

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  • ILS+Urban: an offline land-surface process model for global urban climate and building energy simulations

    Takane., Y., T. Nitta, S. A. Adachi, K. Yoshimura, T. Arakawa, M. Nakano, M. Nakayoshi, S. Onomura, B. Crawford

    AGU24  ( Washington, D.C. )   2024.12 

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  • Improvement of human-flood feedbacks model considering levee system transformation: a case study in the Kiso River basin, Japan

    Nakamura S., F. Nakai, T. Nitta, T. Oki

    AGU24  ( Washington, D.C. )   2024.12 

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  • 気候モデルMIROC7の開発

    廣田渚郎, 道端拓朗, 山上遥航, 建部洋晶, 鈴木健太郎, 渡部雅浩, 川崎高雄, 新田友子, 関口美保, 齋藤冬樹, 大越智幸司, 渡辺真吾, 阿部学, 小長谷貴志, 塩竈秀夫, 竹村俊彦, 小倉知夫, 大野知紀, 芳村圭, 鈴木立郎, 小室芳樹, 川合秀明, C. Hung, 千喜良稔, 八代尚, 五藤大輔

    日本気象学会2024年度秋季大会  ( つくば )   2024.11 

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  • Development of Integrated Land Simulator as a land component for MIROC7: preliminary results focusing on land-atmosphere coupling

    Nitta, T., N. Hirota, F. Saito, A. Takeshima, T. Arakawa, M. Hatono, D. Yamazaki, K. Yoshimura

    9th GEWEX Open Science Conference 2024  ( Sapporo )   2024.7 

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  • The Development and Evaluation of Plant Hydraulic Schemes in MATSIRO Land Surface Model

    Li, H., T. Nitta, K. Yoshimura

    9th GEWEX Open Science Conference  ( Sapporo )   2024.7 

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  • Progress in the Development and Applications of Fast MATSIRO Land Surface Model Emulator

    Olson, R., K. Yoshimura, T. Nitta

    9th GEWEX Open Science Conference  ( Sapporo )   2024.7 

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  • Simple Physically-based Emulator of ILS (Integrated Land Simulator)

    Olson R., K. Yoshimura, T. Nitta

    AOGS2024  2024.6 

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  • 清朝時代の日記による中国近代の降雨量の復元:改良Green Amptモデルを用いて

    石田紘大, 塩尻大也, 新田友子, 長野宇規, 市野美夏

    Japan Geoscience Union Meeting 2024  2024.5 

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  • 気候モデルMIROC7の開発

    廣田渚郎, 道端拓朗, 山上遥航, 建部洋晶, 鈴木健太郎, 渡部雅浩, 川崎高雄, 新田友子, 齋藤冬樹, 大越智幸司, 関口美保, 渡辺真吾, 塩竈秀夫, 小倉知夫, 竹村俊彦, 大野知紀, 阿部学, 芳村圭, 川合秀明, 千喜良稔, 八代尚, 五藤大輔

    Japan Geoscience Union Meeting 2024  2024.5 

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  • Exploring global 1-km hydrological simulations using Integrated Land Simulator Invited

    Nitta, T., A. Takeshima, T. Arakawa, K. Yoshimura

    Japan Geoscience Union Meeting 2024  2024.5 

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  • Development of a land model for the next generation MIROC climate model and evaluation of its simulated land-atmosphere coupling

    Nitta, T, T. Arakawa, A. Takeshima, D. Yamazaki, K. Yoshimura

    EGU General Assembly 2024  2024.4 

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  • ILS+Urban: an offline land-surface process model for global urban climate and energy simulations

    Takane, Y, T. Nitta, S. A. Adachi, K. Yoshimura, M. Nakano, M. Nakayoshi, S. Onomura, B. Crawford

    EGU General Assembly 2024  2024.4 

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  • Modeling levee system transformation with human-flood interaction in the Kiso River basin, Japan

    Nakamura S, F. Nakai, T. Nitta, T. Oki

    EGU General Assembly 2024  2024.4 

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  • Development of MIROC7: Mean states, variability, and climate sensitivity

    Hirota, N, T. Michibata, Y. Yamagami, H. Tatebe, K. Suzuki, M. Watanabe, T. Nitta, T. Kawasaki, F. Saito, K. Ogochi, M. Sekiguchi, S. Watanabe, H. Shiogama, T. Ogura, T. Ohno, T. Takemura, K. Yoshimura, H. Kawai, M. Chikira, H. Yashiro

    WCRP Open Science Conference 2023  2023.10 

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  • Design and development of Integrated Land Simulator

    Oki, T., T. Nitta, T. Arakawa, T. Takeshima, D. Yamazaki, K. Yoshimura

    WCRP Open Science Conference 2023  2023.10 

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  • Simple Physically-Based Emulator of MATSIRO Land Surface Model

    Olson, R, K. Yoshimura, T. Nitta

    AOGS2023  2023.7 

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  • MIROC-ILS coupling: Coupling multiple land component models to an atmosphere and ocean model with Jcup

    Nitta, T, T. Arakawa, A. Takeshima, M. Hatono, D. Yamazaki, K. Yoshimura

    Sixth Workshop on Coupling Technologies for Earth System Models  2023.1 

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  • Evaluating the impact of irrigated paddy fields on water cycle by coupling land surface and rice growth models

    Nomura, S, T. Nitta, Y. Yasutomi, K. Yoshimura

    AGU Fall meeting 2022  2022.12 

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  • Coupling of Integrated Land Simulator to MIROC6’s Atmosphere and Ocean Models

    Nitta, T, T. Arakawa, A. Takeshima, M. Hatono, D. Yamazaki, K. Yoshimura

    AGU Fall meeting 2022  2022.12 

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  • Development of MIROC-ILS: coupling of multiple land component models with atmosphere and ocean models

    Nitta, T, T. Arakawa, A. Takeshima, M. Hatono, D. Yamazaki, K. Yoshimura

    Land Surface Modelling Summit 2022  2022.9 

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  • 統合陸域シミュレータと気候モデルMIROCの連成シミュレーション

    新田友子, 荒川隆, 鳩野美佐子, 竹島滉, 山崎大, 芳村圭

    第27回計算工学講演会  2022.5 

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  • 陸域モデルの土壌水分スキームの高度化と土壌パラメータの水平・鉛直分布の考慮

    浜田光太郎, 山崎大, 新田友子

    第66回水工学講演会  2021.12 

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  • 斜面流れを考慮した全球陸域モデルによる 丘-谷間水分コントラストの再現

    足立幸太, 山崎大, 新田友子

    第66回水工学講演会  2021.12 

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  • Evaluation of a snow scheme in Integrated Land Simulator

    Nitta, T, K. Yoshimura

    JpGU 2020  2020.7 

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  • Model updates and early results of a decadal highresolution climate simulations using the Non-hydrostatic Icosahedral Atmospheric Model, NICAM, for CMIP6 HighResMIP

    Kodama, C, Y. Yamada, T. Ohno, T. Seiki, H. Yashiro, A. T. Noda, M. Nakano, W. Roh, M. Satoh, T. Nitta, T. Nasuno, T. Miyakawa, Y. Chen, M. Sugi

    AGU Fall meeting 2019  2019.12 

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  • Investigation on snow-soil-atmosphere interaction and impact on the climate signals through a pacemaker experiment of SWE

    Onuma, Y, K. Yoshimura, T. Nitta, H. Tatebe, M. Watanabe

    AGU Fall Meeting 2019  2019.12 

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  • Evaluation of Integrated Land Simulator using site observations

    Nitta, T, T. Arakawa, A. Takeshima, M. Hatono, H. Yashiro, D. Yamazaki, K. Yoshimura

    AGU Fall Meeting 2019  2019.12 

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  • 積雪ペースメーカー実験による気候への影響評価

    大沼友貴彦, 芳村圭, 新田友子, 建部洋晶, 渡部雅浩

    気象学会2019年度秋季大会  ( 福岡 )   2019.10 

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  • 統合陸域モデルILSのCode Modernization

    荒川隆, 原山卓也, 新田友子, 竹島滉, 芳村圭

    第18回情報科学技術フォーラム  ( 岡山 )   2019.9 

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  • Impact of black carbon and sulfate aerosols on terrestrial water circulation

    Nitta, T, Y. Ishitsuka, M. Tada, K. Suzuki, T. Takemura, K. Yoshimura

    Workshop on Air Pollution, Climate Change and Human Health  2019.7 

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  • Development and evaluation of ILS v1.0

    Nitta, T, K. Yoshimura

    Joint US-Japan workshop on climate change and variability  2019.3 

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  • Modeling Sediment Dynamics at the Global Scale

    Hatono, M, T. Nitta, T. Arakawa, K. Yoshimura

    AGU Fall Meeting 2018  2018.12 

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  • Development of ILS, Integrated Land Simulator

    Nitta, T, T. Arakawa, A. Takeshima, M. Hatono, H. Yashiro, D. Yamazaki, K. Yoshimura

    2018 AGU Fall Meeting  2018.12 

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  • 陸域モデル国際相互比較実験(LS3MIP)を想定したMATSIROによる20世紀再現実験

    大沼友貴彦, 金 炯俊, 芳村 圭, 新田友子, 大石龍太, 高田久美子

    第63回水工学講演会  ( 札幌 )   2018.11 

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  • 統合陸域シミュレータの開発と気候モデルとの結合に向けた検討

    新田友子, 荒川隆, 竹島滉, 鳩野美佐子, 八代尚, 山崎大, 芳村圭

    日本気象学会2018年度秋季大会  2018.10 

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  • 統合陸域シミュレータ(ILS)の開発

    新田友子, 竹島滉, 鳩野美佐子, 八代尚, 荒川隆, 山崎大, 芳村圭

    水文・水資源学会 2018年度研究発表会  ( 三重 )   2018.9 

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  • The impact of representing snow-fed wetlands on summer warm and dry biases through land atmosphere interaction in MIROC5 AGCM experiment

    Nitta, T, Kei Yoshimura, A. Abe-Ouchi

    8th GEWEX Open Science Conference  2018.5 

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  • Simulation of snow algal growth and its effect on snow albedo using a global land surface model, MATSIRO

    Onuma Y, K. Yoshimura, N. Takeuchi, T. Nitta

    International Symposium on Cryosphere and Biosphere  2018.3 

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  • 短寿命気候汚染物質による陸域水循環への影響

    芳村圭, 新田友子, 石塚悠太, 多田真嵩, 鈴木健太郎, 竹村俊彦

    第62回水工学講演会  ( 岡山 )   2018.3 

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  • SLCP(短寿命気候汚染物質)による陸域水循環への影響

    新田友子, 芳村圭, 木口雅司, 鈴木健太郎, 竹村俊彦

    水文・水資源学会2017年度総会・研究発表会  ( 北見 )   2017.9 

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  • 1km解像度陸面モデルによる河川流量の検証

    藪優太郎, 芳村圭, Hyungjun Kim, 新田友子, 鳩野美佐子, 石塚悠太, 向田清峻, 可知美佐子, 沖 大幹

    第25回地球環境シンポジウム  ( 神戸 )   2017.9 

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  • Evaluation of high latitudes land climate simulated by MIROC5 AGCM and a wetland scheme

    Nitta, T, K. Yoshimura, A. Abe-Ouchi

    Hydrology delivers Earth System Science to Society 4  2017.5 

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  • Development of an Integrated Global Hydrological Model with Sediment Dynamics

    Hatono, M, K. Mukaida, T. Nitta, T. Arakawa, K. Yoshimura

    AGU Fall Meeting 2016  2016.12 

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  • The impact of representing arctic wetlands on summer warm and dry biases over land in MIROC5 AGCM experiment

    Nitta, T, K. Yoshimura, A. Abe-Ouchi

    AGU Fall Meeting 2016  2016.12 

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  • On the impact of arctic wetlands on the climate system: Model sensitivity simulations with MIROC5 AGCM and the simplified wetland scheme

    Nitta, T, K. Yoshimura

    Joint US-Japan Workshop on Climate Change and Variability  2016.3 

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  • On the impact of arctic wetlands on the climate system: Model sensitivity simulations with MIROC5 AGCM and the simplified wetland scheme

    Nitta, T, K. Yoshimura, A. Abe-Ouchi

    AGU Fall meeting 2015  ( San Francisco, USA )   2015.12 

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  • 簡易湿地スキームを用いた大気陸面結合実験

    新田友子, 芳村圭, 阿部彩子

    日本気象学会2015年度秋季大会  2015.10 

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  • 簡易湿地スキーム導入による大気海洋大循環モデルの改良

    大石龍太, 新田友子, 芳村圭, 高田久美子, 阿部彩子

    JpGU2015  ( 幕張 )   2015.5 

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  • 陸域水循環の再現性向上と気温バイアス低減に向けた簡易湿地スキームによる感度実験

    新田友子,芳村圭,阿部彩子

    第59回水工学講演会  ( 東京 )   2015.3 

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  • 雪氷新過程導入によるGCM地表気温バイアスの改善

    大石龍太, 新田友子, 芳村圭, 高田久美子, 阿部彩子

    極域科学シンポジウム  2015 

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  • A sensitivity study of MATSIRO land surface model with a simple wetland scheme for improvements in the representation of surface hydrology and surface air temperature bias

    Nitta, T, K. Yoshimura, A. Abe-Ouchi

    AGU Fall Meeting 2014  ( San Francisco, USA )   2014.12 

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  • 陸面モデルにおける高緯度陸域水循環の改善に向けた簡易湿地スキームに よる感度実験

    新田友子, 芳村圭, 阿部彩子

    水文水資源学会 2014年度研究発表会  ( 宮崎 )   2014.9 

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  • Representing variability in subgrid snow cover and snow depth in a global land model

    Nitta, T, K. Yoshimura, K. Takata, R. O’ishi, T. Sueyoshi, S. Kanae, T. Oki, A. Abe-Ouchi, G. E. Liston

    7th International Scientific Conference on the Global Water and Energy Cycle  ( The Hague, The Netherlands )   2014.7 

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  • 陸域サブモデルへの新要素導入による大気海洋大循環モデルの改良

    大石龍太, 高田久美子, 新田友子, 芳村圭, 阿部彩子

    極域科学シンポジウム  2014 

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  • 陸面モデルにおけるサブ グリッドスケールの積雪被覆率と積雪深の変化の表現

    新田友子, 芳村圭, 高田久美子, 大石龍太, 鼎信次郎, 沖大幹, Glen E. Liston

    2013JpGU  2013.5 

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  • アンサンブル実験による全球陸域積雪シミュレーションの不確実性評価

    新田友子, 芳村圭, J.D. Annan, C.Hargreaves, 鼎信次郎, 沖大幹

    第57回水工学講演会  2013.3 

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  • Uncertainty of global snow simulation: ensemble experiments of land surface model MATSIRO

    Nitta, T, K. Yoshimura, S. Kanae, T. Oki

    AGU Fall Meeting 2012  ( San Francisco, USA )   2012.12 

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  • 地域の脆弱性を考慮した日本の内水被害リスク推定

    福林奈緒子, 新田友子, 沖大幹, 瀬戸心太

    水文・ 水資源学会 2012年度研究発表会  2012.9 

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  • 陸面モデルにおけるサブグリッドスケー ルの積雪被覆率と積雪深の変化の表現

    新田友子, 芳村圭, 高田久美子, 大石龍太, 鼎信次郎, 沖大幹

    第56回水工学講演会  2012.3 

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  • 陸面モデル MATSIRO 積雪スキームの高度化と複数の観測データセットを用いた検証

    新田友子, 芳村圭, 高田久美子, 大石龍太, 鼎信次郎, 沖大幹

    水文・水資源学会2011年度研究発表会  2011.8 

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  • Change of flood risk under climate change based on Discharge Probability Index in Japan

    Nitta, T, K. Yoshimura, S. Kanae, T. Oki

    AGU Fall Meeting 2010  ( San Francisco, USA )   2010.12 

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  • 流量確率指数を用いた地球温暖化に伴う日本域洪水リスク変化の推定

    新田友子, 鼎信次郎, 沖大幹

    第54回水工学講演会  2010.3 

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  • River discharge simulation considering dam operations in Japan

    Nitta, T, S. Seto, S. Kanae, T. Oki

    6th International Scientific Conference on the Global Water and Energy Cycle  ( Melbourne )   2009.8 

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  • 水の供給源に着目した日本における仮想的な水輸入の内訳

    犬塚俊之, 新田友子, 花崎直太, 鼎信次郎, 沖大幹

    第52回水工学講演会  ( 広島 )   2008.3 

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Awards

  • 優秀ポスター賞

    2014   水文・水資源学会  

Research Projects

  • Generation of Millennium Atmospheric Reanalysis Product

    Grant number:22H04938  2022.4 - 2027.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (S)  The University of Tokyo

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    Grant amount: \193440000 ( Direct Cost: \148800000 、 Indirect Cost: \44640000 )

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  • 統合陸域シミュレータによる陸域水循環シミュレーション:積雪過程に着目して

    Grant number:21K04269  2021.4 - 2024.3

    日本学術振興会  科学研究費助成事業  基盤研究(C)  東京大学

    新田 友子

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    Grant amount: \3900000 ( Direct Cost: \3000000 、 Indirect Cost: \900000 )

    地球システムモデルを用いた将来の気候変動予測の結果は、多様な分野で利用されているが、予測結果は系統的な誤差を持つことが知られている。そのため、モデルの高度化・精緻化が必要とされており、陸域過程の精度良い表現は重要な課題のひとつである。本研究では、地球システムモデルに結合可能な統合陸域シミュレータ(Integrated Land Simulator; ILS; Nitta et al., 2020)において、特に積雪過程に着目して改良を行い、陸域水循環シミュレーションの改善は、気候モデルの精度向上にどの程度寄与するのかを明らかにすることを目的としている。
    今年度はまず、ILS ver.1を用いて110年間の陸域長期オフライン実験を行った。地表面アルベド、潜熱・顕熱フラックス、流出量、積雪水当量といった陸域シミュレーションの基本的な変数について、シミュレーション結果を複数のデータセットと比較して再現性を確認した。特に北方林で地表面アルベドを過大評価していることが確認された。ILS ver.1の完成後に追加したいくつかのスキームについても、各段階のILSで同様の実験と検証を行い、開発の各過程で誤差指標を記録する準備を始めた。次に、積雪過程の改良に着手した。特に降雪遮断スキームについて集中的にレビューを行い、改良方針を検討した。さらに、次年度に向けて気候モデル結合実験と全球陸域超高解像度実験に向けた準備と予備的な実験を行い、気候モデルMIROCとILSを結合した実験と全球1km陸域実験がそれぞれ現実的な時間で動くことを確認した。また、国際的な陸モデルベンチマークプロジェクト参加に向けて、サイト実験を行った。

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