个人简介

      吴欢，中山大学教授/博导，国家万人计划科技创新领军人才，国家海外高层次青年人才。获北京大学博士学位，曾受聘于美国蒙大拿大学、马里兰大学和美国宇航局NASA，长期从事水文气象学、水文气侯学和水文遥感研究，专注于多尺度洪水过程模拟预报研究与应用。自主研发的可变入渗产流与主导路径汇流耦合模式DRIVE，在国际上被评为全球洪水模式发展的里程碑之一，被美国气象学会100周年和美国地球物理学会WRR 50周年选为代表性学术成果。公开发表SCI论文50多篇，被引3000次，多次被Science、BAMS、EOS等报道；主编专著《Global Drought and Flood》，入选联合国气候峰会COP26精选图书。现担任全球洪水合作伙伴（GFP）领导委员会副主席，广东省气候变化与自然灾害重点实验室副主任，中国水利遥感委员会委员，CNC-IAHS陆气关系分委会委员、《Journal of Hydrometeorology》、《Frontiers in Big data and AI》、《Journal of Tropical Meteorology》等期刊编委。

联系方式        

通讯地址: 中国广东省珠海市中山大学海琴2号大气科学学院A265 (邮编519082)
Email: wuhuan3@mail.sysu.edu.cn 

研究生招生: 招收硕士和博士研究生；

科研人员岗位招聘：（1）长期招聘若干名博后、特聘研究员、特聘副研究员 ；

                                （2）博士后和专职科研人员薪酬按中山大学相关规定执行，是具有竞争力的薪水待遇和福利。

教育经历

    2003-09 至 2007-07, 北京大学, 水文遥感与摄影测量, 理学博士

    2000-09 至 2003-07, 北京大学, 地理信息系统与遥感, 理学硕士

    1996-09 至 2000-07, 首都师范大学, 地理学, 理学学士

讲授课程

《水文气象灾害》

《水文气象学》

荣誉和获奖

•  2016年受邀为美国宇航局NASA SERVIR计划技术评估专家组

• 2015年入选美国宇航局NASA全球降雨计划科学委员会

• 2015年美国地球物理学会（AGU） Water Resources Research (WRR) Editors’ Choice Award (最佳论文奖，<1%)；

• 2014年选为美国地球物理学会（AGU）全球环境变化组委会委员

• NASA-马里兰大学地球交叉科学联合研究中心（ESSIC）2014年度最佳论文Best Research Faculty Paper Award；

• NASA-马里兰大学地球交叉科学联合研究中心（ESSIC）Feature story; 

• 全球洪水监测与预报系统(GFMS)获NASA Science高亮报道，影响广泛；http://www.nasa.gov/feature/goddard/satellite-based-flood-monitoring-central-to-relief-agencies-disaster-response

• 联合国外层空间事务厅（UNOOSA）特邀专家及资助（2014, 2016）

• 世界银行总部（华盛顿特区）特邀专家1小时报告及资助（2014）

• NASA-马里兰大学地球交叉科学联合研究中心Research Faculty Merit 2013, 2014, 2015, 2016；

• 特邀项目评审专家：美国自然基金委水文科学US National Science Foundation (Hydrologic Sciences Program)；美国宇航局NASA Precipitation Measurement Mission （PMM）

• 受邀客座杂志主编（Advances in Meteorology）,2015

• 合作工作被美国能源部大气科学与全球变化研究部高亮报道http://www.pnl.gov/science/highlights/highlight.asp?id=1332

• 基于DRTT模型结果的合作作者文章选为杂志封面（Whited et al.,2012, Fisheries）;

• 第一作者文章被选为AGU EOS “Research Spotlight” （Wu et al., 2014, WRR）；http://onlinelibrary.wiley.com/doi/10.1002/2014EO300012/pdf

• 第一作者文章工作被Science 报道，Science, November 18, 2011, Vol 334, p890, Science (www.sciencemag.org)and Wu et al., 2012, WRR）；

• 媒体采访与报道（The Diamondback，ESSIC feature story，AMS/BAMS等）

• 北京大学光华奖学金（2004年）

• 欧洲空间局European Space Agency (ESA)资助雷达洪水识别培训Travel Grant, 2002

   

学术任职与服务

• Global Flood Working Group (2012-present)；2016年年会（意大利，Ispra）洪水信息集成break up session主持；
• Global Flood Partnership (2014-present)
• 美华海洋大气科学协会总部（华盛顿）理事
• NASA降雨测量计划 (PMM)水文工作组(2013-present)
• 北京大学地球与空间科学学院校友会北美常务理事

• 客座杂志主编

  Special Issue on "Hydrometeorological Hazards: Monitoring, Forecasting, Risk Assessment, and Socioeconomic Responses" for Advances in Meteorology, with Maoyi Huang (DOE/PNNL, USA), Qiuhong Tang (CAS, China), Dalia B. Kirschbaum (NASA/GSFC, USA), Philip Ward (VU University, Netherlands)

• 受邀杂志评审专家

  Water Resources Research; Journal of Hydrology; Journal of Geophysical Research; Hydrological Sciences Journal; Environmental Research Letters; Journal of Hydrometeorology; International Journal of Climate; Journal of Climate; International Journal of Remote Sensing; Hydrology and Earth System Sciences; Environmental Modeling& Software; PLOS ONE; Meteorology and Atmospheric Physics; MDPI-Water; MDPI-Remote Sensing; Advances in Water Resources; AGU Books; IEEE J-STARS, Nature Geoscience, Nature Scientific Reports等

• 受邀项目评审专家

  US National Science Foundation (Hydrologic Sciences Program)

  NASA Precipitation Measurement Mission Science Team

• 主召集人(Wu H.，Qiuhong Tang，Yang Hong)，Precipitation and Hydrology Session, The 7th International Conference on Atmosphere, Ocean, and Climate Change, July 27-30, 2016, Beijing China;
• AGU session主召集人 (Wu H., T. Troy, G. R. Brakenridge, P. J. Ward), Global Floods: Forecasting, Monitoring, Risk Assessment, and Socioeconomic Response, AGU 2014 FALL Meeting Sessions H33M, H34C and H41C: Hydrology and Remote Sensing, San F., California, USA (including two oral and one poster sessions).
• Session 主持, Land and hydrology, 3rd Annual NOAA CICS-MD Science Meeting, Satellite Observations for Earth System Monitoring and Prediction, November 12-13, 2014, College Park, MD.
• 主持 (with Chung-Chu Teng, Jin Huang et al.) the Chinese-American Oceanic and Atmospheric Association (COAA) 2014 Spring Workshop, May 3, 2014, College Park, MD.
• AGU session主召集人(Wu H., T. Troy, G. R. Brakenridge, P. J. Ward), Global Floods: Satellite Observation, Modeling and Socioeconomic Response, AGU 2013 FALL Meeting Session H029: Hydrology and Remote Sensing, San F., California, USA (including one oral and one poster sessions).
• AGU session共同召集人(Voisin N., H. Gao, H. Wu and Q. Tang), Advances in Reservoir Modeling and Monitoring from Regional to Global Scales, AGU 2013 Fall Meeting Session GC012: Global Environmental Change (GEC), San F., California, USA (including one oral and one poster sessions).
• 共同主持 (Li J., X. Chen and H. Wu), Application and Progress of Digital Watershed, Digital China Development Forum 2005 (DCDF2005) Session of Digital River Basin, Shenzheng, China.

•  AGU session主召集人 (Wu H., Dennis P. Lettenmaier, P. J. Ward and Donglian Sun), Global Floods: Forecasting, Monitoring, Risk Assessment, and Socioeconomic Response, AGU 2016 FALL Meeting Sessions H047, San F., California, USA (on-going)

科研项目/课题

主要学术论文

• Zhijun Huang, Huan Wu,*, Guojun Gu, Xiaomeng Li, Nergui Nanding, Robert F. Adler, Koray K. Yilmaz, Lorenzo Alfieri, Sirong Chen，  Paired Satellite and NWP Precipitation for Global Flood Forecasting，Journal of Hydrometeorology，Published 01 Dec 2023, Page(s): 2191–2205，Volume 24: Issue 12，DOI:https://doi.org/10.1175/JHM-D-23-0044.1
•  HAOLIN LUO, ZIQIAN WANG , HUAN WU, ZHUOYU ZENG, AND WEI YU,2023, ,Weakened Relationship between the Tibetan Plateau Heat Source and the Western North Pacific Anomalous Anticyclone in Recent Summers Journal of Climate, https://doi.org/10.1175/JCLI-D-22-0727.s1.
• Alfieri, L., Libertino, A., Campo, L., Dottori, F., Gabellani, S., Ghizzoni, T., Masoero, A.,      Rossi, L., Rudari, R., Testa, N., Trasforini, E., Amdihun, A., Ouma, J., Rossi, L., Tramblay, Y., Wu, H., and Massabò, M.: Impact-based flood forecasting in the Greater Horn of Africa, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-804, 2023.
• Xinshun Pan , Huan Wu  , Sirong Chen ,*, Nergui Nanding  , Zhijun Huang , Weitian Chen , Chaoqun Li  and Xiaomeng Li ，Evaluation and Applicability Analysis of GPM Satellite Precipitation over Mainland China，Remote Sens. 2023, 15(11), 2866; Published: 31 May 2023，https://doi.org/10.3390/rs15112866 
• Xiaomeng Li  , Huan Wu * , Nergui Nanding , Sirong Chen , Ying Hu , Lingfeng(2023). LiStatistical Bias Correction of Precipitation Forecasts Based on Quantile Mapping on the Sub-Seasonal to Seasonal Scale, Remote Sensing. 2023, 15(7),1743, https://doi.org/10.3390/rs15071743
• Weitian Chen, Huan Wu*, John S. Kimball, Lorenzo Alfieri, Nergui Nanding, Xiaomeng Li, Lulu Jiang, Wei Wu, Yingchun Tao, Shihu Zhao & Wenting Zhong (2022). A Coupled River Basin-urban Hydrological Model (DRIVE-Urban) for Real-time Urban Flood Modeling. Water Resources Research, 58, e2021WR031709. https://doi.org/10.1029/2021WR031709
• Miao Yu,Huan Wu*,Jinfang Yin,Xudong Liang,Shiguang Miao，2022，Improved Delineation of Urban Hydrological Processes in Coupled Regional Climate Models，Water Resources Researches,  https://doi.org/10.1029/2022WR032695
• Robert Adler, Guojun Gu, Naijun Zhou, Huan Wu*, Patrick Matgen, John Galantowicz, Guy Schumann & Koray K. Yilmaz (2022). The role of satellite  information in forecasting, modeling, and mapping the 2019 Mozambique flood. Journal of Flood Risk Management, e12843. https://doi.org/10.1111/jfr3.12843
• Yongxin Liu, Huan Wu, Shenglei Wang, Xiuwan Chen, John S. Kimball, Chenlu Zhang, Han Gao, Peng Guo,Evaluation of trophic state for inland waters through combining Forel-Ule Index and inherent optical properties,Science of The Total Environment,Volume 820, 2022, 153316, 
• Nanding, N., Wu, H.*, Tao, J., Maggioni, V., Beck, H. E., Zhou, N., Huang, M., & Huang, Z. (2021). Assessment of Precipitation Error Propagation in Discharge Simulations over the Contiguous United States, Journal of Hydrometeorology, 22(8), 1987-2008.
• Huang Z., H. Wu*, R. F. Adler, G. Schumann, J. J. Gourley, A. Kettner, N. Nanding, 2021: Multi-Sourced Flood Inventories over the Contiguous United States for Actual and Natural Conditions, Bulletin of the American Meteorological Society. doi: 10.1175/BAMS-D-20-0001.1.
• Ming Zhong, Ting Zeng , Tao Jiang, Huan Wu, Xiaohong Chen, and Yang Hong, 2020,A Copula-Based Multivariate Probability Analysis for Flash Flood Risk under the Compound Effect of Soil Moisture and Rainfall. Water Resour Manage 35, 83–98 (2021). https://doi.org/10.1007/s11269-020-02709-y
• Yaling Liu, Dongdong Chen, Soukayna Mouatadid ,Xiaoliang Lu, Min Chen, Yu Cheng, Zhenghui Xie,Binghao Jia, Huan Wu, and Pierre Gentine, 2021, Development of a Daily Multilayer Cropland Soil Moisture Dataset for China Using Machine Learning and Application to Cropping Patterns, 22(2), 445–461,https://doi.org/10.1175/JHM-D-19-0301.1
• Yan Yan  Huan Wu*  Guojun Gu  Philip J. Ward  Lifeng Luo  Xiaomeng Li  Zhijun Huang  Jing Tao, 2020, Exploring the ENSO Impact on Basin‐Scale Floods Using Hydrological Simulations and TRMM Precipitation, Geophysical research Letters, https://doi.org/10.1029/2020GL089476
• Huan Wu*, Xiaomeng Li, Guy J.-P. Schumann, Lorenzo Alfieri, Yun Chen, Hui Xu, Zhifang Wu, Hong Lu, Yamin Hu, Qiang Zhu, Zhijun Huang, Weitian Chen & Ying Hu . From China’s Heavy Precipitation in 2020 to a “Glocal” Hydrometeorological Solution for Flood Risk Prediction. Adv. Atmos. Sci. 38, 1–7 (2021). https://doi.org/10.1007/s00376-020-0260-y
• Nanding, N., Chen, Y., Wu, H.*, Dong, B., Tian, F., Lott, F.C., Tett, S.F., Rico-Ramirez, M.A., Chen, Y., Huang, Z. and Yan, Y., 2020.      Anthropogenic Influences on 2019 July Precipitation Extremes Over the Mid–Lower Reaches of the Yangtze River. Frontiers in     Environmental Science, 8, p.230.
• 黄泽群、吴欢*、李超群; 姜璐璐; 男顶; 汤秋鸿; 王爱慧; 赵世湖; Yamazaki Dai；基于MERIT DEM 和DRT升尺度化算法的多分辨率全国 河网数据集构建；地理与地理信息科学，2020年36卷3期
• 胡颖 吴欢* 徐辉  郑璟 周乃君 黄芷君 陈唯天 李超群；基于降雨-径流长期观测的山洪响应特征分析：以美国本土两 个小流域为例；大气科学学报(ISSN:1674-7097)；2020年43卷6期
• Wu, H.*, Li, X., Schumann, G.JP. et al. From China’s Heavy Precipitation in 2020 to a “Glocal” Hydrometeorological Solution for Flood Risk Prediction. Adv. Atmos. Sci. 38, 1–7 (2021).https://doi.org/10.1007/s00376-020-0260-y
• Lorenzo Alfieri,  Francesco Dottori,  Peter Salamon,  Huan Wu,  Luc Feyen, 2020, Global modeling of seasonal mortality rates from river floods, https://doi.org/10.1029/2020EF001541
• Wang Q., J. Qi, H. Wu, Y. Zengk, W. Shui, J., Zeng, X. Zhang, 2020, Freeze-Thaw cycle representation alters response of watershed hydrology to future climate change, CATENA, 195, https://doi.org/10.1016/j.catena.2020.104767
• Jiang Lulu, H. Wu*, Jing Tao, J. S. Kimball6, L. Alfrieri, 2020, Satellite-based   Evapotranspiration in Hydrological Model Calibration, Remote Sens. 12(3), 428; https://doi.org/10.3390/rs12030428
• Yan, Y., H. Wu*, G. Gu, Z. Huang, L. Alfieri, X. Li, N. Nanding, X. Pan, and Q. Tang, 2020: Climatology and Interannual Variability of Floods during the TRMM Era (1998–2013). J. Climate, 33, 3289–3305, https://doi.org/10.1175/JCLI-D-19-0415.1
• Wu H.*, John S. Kimball, Naijun Zhou, Lorenzo Alfieri, Lifeng Luo, Jinyang Du, Zhijun Huang, 2019, Evaluation of real-time global flood modeling with satellite surface inundation observations from SMAP, Remote Sensing of Environment, 233， https://doi.org/10.1016/j.rse.2019.111360.
• Lulu J, Nergui N, H. Wu*, Zequn H, Zhijun H. Coupled Streamflow and Temperature Modeling for Aquatic Ecosystem Studies. Oceanogr Fish Open Access J. 2018; 7(1): 555702. DOI: 10.19080/OFOAJ.2018.07.555702 
• Wu, H.*; Gu, G.; Yan, Y.; Gao, Z.; Adler, R. F. Global Flood Monitoring Using Satellite Precipitation and Hydrological Modeling. Geophysical Monograph Series, v. 6, n. 1, p. 87-113, 2018
• Alfieri L, Cohen S, Galantowicz J, Schumann G J P, Trigg M A, Zsoter E, Prudhomme C, Kruczkiewicz A, de Perez E C, Flamig Z, Rudari R, Wu H, Adler R F, Brakenridge G R, Kettner A, Weerts A, Matgen P, Saiful Islam A K M, De Groeve T, P. Salamon, 2018, A global network for operational flood risk reduction[J]. Environmental Science & Policy,  84: 149-158.
• Wu, H.*, R. Adler, Y. Tian, G. Gu, and G. Huffman, 2017: Evaluation of Quantitative Precipitation Estimations (QPE) through Hydrological Modeling in IFloodS River Basins. J. Hydrometeor., 18, 529–553, 2017. DOI: http://dx.doi.org/10.1175/JHM-D-15-0149.1
• G. J-P. Schumann, S. Frye, G. Wells, R. Adler, R. Brakenridge, J. Bolten, J. Murray, D. Slayback, F. Policelli, D. Kirschbaum, H.Wu, P. Cappelaere, T. Howard, Z. Flamig, R. Clark, T. Stough, M. Chini, P. Matgen, D. Green, and B. Jones,(2016), Unlocking the full potential of Earth observation during the 2015 Texas flood disaster, Water Resour. Res., 52,3288–3293, doi:10.1002/2015WR018428.
• Huan Wu*, Robert F. Adler, Yudong Tian, George J. Huffman, 2016, Evaluation of Quantitative Precipitation Estimations (QPE) and Hydrological Modeling at IFloodS Focal Basins, Journal of Hydrometeorology
• Wu H.*, M. Huang, Q. Tang, D. B. Kirschbaum and Philip Ward (2016), Hydrometeorological Hazards: Monitoring, Forecasting, Risk Assessment and Socioeconomic Responses, Advances in Meteorology, 
• Kirschbaum D.B., G. Huffman, G.Skofronick-Jackson, S. Braun, E. Stocker, K. Garrett, E. Jones, R.Adler, H. Wu, A. McNally, and B. Zaitchik (2016), NASA’s Remotely-sensed Precipitation: A Reservoir for Applications Users, Bulletin of the American Meteorological Society (BAMS)
• Wu, H., R. F. Adler, Y. Tian, G. J. Huffman, H. Li, and J. Wang (2014), Real-time global flood estimation using satellite-based precipitation and a coupled land surface and routing model, Water Resour. Res., 50, 2693–2717, doi:10.1002/2013WR014710.[论文获AGU “2015 Editor Choice Award”，ESSIC年度最佳faculty论文奖、AGU EOS “Research Spotlight”高亮报道、WRR highlighted，工作被NASA Science高亮报道]
• Tian, Y., G. J. Huffman, R. F. Adler, L. Tang, M. Sapiano, V. Maggioni, and H. Wu (2013), Modeling errors in daily precipitation measurements: Additive or multiplicative?, Geophys. Res. Lett., 40, 2060–2065, doi:10.1002/grl.50320.
•  Li, H., M. S. Wigmosta, Wu, H., M. Huang, Y. Ke, and A. M. Coleman, and L. R. Leung (2013), A physically based runoff routing model for land surface and earth system models, Journal of Hydrometeorology. Doi: 10.1175/JHM-D-12-015.1,[论文工作被美国能源部DOE PULSE选为亮点报道]
•  Wu, H., J. S.Kimball, M. M.Elsner, N.Mantua, R. F.Adler, and J.Stanford (2012), Projected climate change impacts on the hydrology and temperature of Pacific Northwest rivers, Water Resour. Res., 48, W11530, doi: 10.1029/2012WR012082.[论文工作被Science杂志选为亮点报道]
•  Wu H., R. F. Adler, Y. Hong, Y. Tian, and F. Policelli (2012), Evaluation of Global Flood Detection Using Satellite-Based Rainfall and a Hydrologic Model, J. Hydrometeor., 13, 1268–1284, doi: http://dx.doi.org/10.1175/JHM-D-11-087.1 [论文工作被AMS BAMS选为亮点报道]
•  Wu H., J. S. Kimball, H. Li, M. Huang, L. R. Leung, R. F. Adler (2012), A new global river network database for macroscale hydrologic modeling, Water Resour. Res., 48, W09701, doi:10.1029/2012WR012313.[DRT为国际上常用全球Hydrography数据集]
• Wu, H., J. S. Kimball, N. Mantua, and J. Stanford (2011), Automated upscaling of river networks for macroscale hydrological modeling, Water Resour. Res., 47, W03517, doi: 10.1029/2009WR008871.[DRT为国际上常用全球Hydrography数据集]
•  Wu H., Y. Yi, X. Wang, X. Chen (2006), A River Bank Extracting Algorithm Based on Active Contour Model from High-resolution Satellite Images, Remote Sensing Technology and Application, No.4: 35-43.

专著及章节 

• Wu, H. （主编）, D.P. Lettenmaier, Q. Tang, and P.J. Ward (2021), Tools for improved drought and flood response, Eos, 102, https://doi.org/10.1029/2021EO163600. Published on 29 September 2021.
• Wu H., et al., 2018, "Global Flood Monitoring and Predicting Using Satellite Precipition and Hydrological model", Chapter 6 of "Global Flood Hazard: Applications in modeling, mapping and forecasting”, edited by Guy Schumann, Paul Bates, Giuseppe Aronica and Heiko Apel, AGU/Wiley book, https://doi.org/10.1002/9781119217886.ch6
• Wu H., "Signals of Galileo Satellite System", Chapter 3 of GALILEO NAVIGATION SATELLITE SYSTEM, pp.31-46, edited by Prof. Xiuwan Chen, Prof. Yu Fang, Dr. Jun Yin, Dr. Huaiqing Zhang, Peking University Press, ISBN 7-301-08931-7, March 2003.
• De Groeve, Tom, L.Vernaccini, G. R. Brakenridge, R. F. Adler, H. Wu, M. Ricko, F. S. Policelli, D. Slayback, A. Albanesi, E. Cristofori (2013), Global Integrated Flood Map: A collaborative product of the Global Flood Working Group, EUR - Scientific and Technical Research Reports, Publications Office of the European Union, ISBN: 978-92-79-29021-3.
• Wu H., 2013. Real-time Global Flood Monitoring and Forecasting in the Satellite Era, International Association of Chinese Youth in Water Science, CYWater News, 6, 5-7.
• Wu, H. and J.S. Kimball (2012), Global Dominant river Tracing (DRT) based hydrography datasets for macroscale hydrological modeling. NASA GSFC Global Change Master Directory: Digital media: http://gcmd.gsfc.nasa.gov/KeywordSearch/Metadata.do?Portal=GCMD&MetadataType=0&MetadataView=Full&KeywordPath=&EntryId=DRT_Dataset_Description
• Wu, H., J.S. Kimball and D. Whited (2012), NPR Dataset Metadata, http://rap-arcgis.ntsg.umt.edu/NPR3/index.html; http://rap-arcgis.ntsg.umt.edu/pubs/NPR_Metadata_2012.pdf.
• Wu, H., J.S. Kimball and D. Whited (2012), DRTT Pacific Northwest Dataset Metadata, http://measures.ntsg.umt.edu/pnw-discharge/PNW_Metadata_2012.pdf;

科研成果媒体报道

• 美国地球物理学会EOS，2020，“Finding “Glocal” Solutions to Flooding Problems”，https://eos.org/articles/finding-glocal-solutions-to-flooding-problems
• GFMS featured on NASA Science, 2015，“Satellite-Based Flood Monitoring Central to Relief Agencies' Disaster Response”， http://www.nasa.gov/feature/goddard/satellite-based-flood-monitoring-central-to-relief-agencies-disaster-response 
• Lead author of a WRR paper highlighted by AGU EOS “Research Spotlight”; See Balcerak, E. (2014), A global, real-time flood monitoring model, Eos Trans. AGU, 95(30), 276. http://onlinelibrary.wiley.com/doi/10.1002/2014EO300012/pdf 
• Feature story of ESSIC: Adler and Wu create Global Flood Monitoring System, June 26, 2014, by Jacob Bell; See  http://www.essic.umd.edu/joom2/index.php/current-news/featured-essic/1875-adler-and-wu-create-global-flood-monitoring-system 
• The DiamondBack: University researchers develop international flood monitoring system, Oct. 10, 2014, by Jacob Bell; See http://www.diamondbackonline.com/news/article_35c6353c-501b-11e4-8948-001a4bcf6878.html 
• DOE Atmospheric Sciences & Global Change Division Research Highlights: Rivers Run Right Through It...The Model, New river-routing model improves simulations of water movement within the Earth's system, March 2013, See http://www.pnl.gov/science/highlights/highlight.asp?id=1332 
• Coauthor of the AMS Bulletin of AMS (BAMS) featured conference presentation, at the 18th Conference on Satellite Meteorology, Oceanography, and Climatology/First Joint AMS-Asia Satellite Meteorology Conference, 22-26 January 2012, New Orleans, Louisiana; See BAMS, June, 2012, 774-776; I am also the lead author of the paper on this work published in Journal of Hydrometeorology.
• My streamflow and stream temperature modeling work was highlighted by Science, November 18, 2011, Vol 334, p890, Science (www.sciencemag.org); The work is detailed in WRR paper: Wu, H., J. S. Kimball, M. M.Elsner, N.Mantua, R. F.Adler, and J.Stanford (2012), Projected climate change impacts on the hydrology and temperature of Pacific Northwest rivers, Water Resour. Res., 48, W11530, doi: 10.1029/2012WR012082.