A036
Climate and Weather Downscaling: Development, Evaluation, and Applications

Session ID#: 156735

Session Description:
Climate and weather models must span the globe and run for long periods, necessitating coarse spatial grids; however, outputs from these models are used extensively at small spatial scales. To bridge this divide, additional information is needed: downscaling methods, whether statistical or dynamical, attempt to resolve processes that control finer-scale hydroclimatic features such as those around mountains or coastlines.  Developing and using methods, as well as establishing the best approach and the reliability of these methods for different applications are all important scientific topics. Given the variety of user needs and downscaling approaches, we invite a wide range of presentations on downscaling including those that evaluate confidence in downscaled products, that enhance utility through communication between developers and users, that develop new downscaling methods and datasets, that evaluate the historical skill, statistical reliability, or representativeness of future changes in downscaled products, and those that advance the application of downscaled products for weather forecasts or climate projections.
Co-Sponsor(s):
  • AMS: American Meteorological Society -
Index Terms:

1637 Regional climate change [GLOBAL CHANGE]
1807 Climate impacts [HYDROLOGY]
3305 Climate change and variability [ATMOSPHERIC PROCESSES]
3394 Instruments and techniques [ATMOSPHERIC PROCESSES]

Primary Convener:  Ethan D Gutmann, National Center for Atmospheric Research, Hydrometeorological Applications Program, Research Applications Laboratory, Boulder, United States
Conveners:  Daniel Feldman, Lawrence Berkeley National Laboratory, Berkeley, CA, United States, Jeffrey Richard Arnold, MITRE Corporation, Climate + Environmental Sciences Office, McLean, United States and Mimi Hughes, NOAA/ESRL/PSD, Boulder, CO, United States
 
Evaluation of bias-corrected and downscaled CMIP6 HighResMIP precipitation for hydrologic modeling (1063130)
Alexander Michalek, University of Iowa, Civil and Environmental Engineering, Iowa City, IA, United States, Taereem Kim, Yonsei University, Seoul, Korea, Republic of (South), Gabriele Villarini, University of Iowa, IIHR—Hydroscience & Engineering, Iowa City, IA, United States, Felipe Quintero, University of Iowa, Iowa City, IA, United States and Witold F Krajewski, University of Iowa, Iowa City, United States
 
Informing Decision-making about Extreme Events with a Dynamically-Downscaled GCM Ensemble (Invited) (1069227)
Naomi L Goldenson1, Eli Dennis2, Will Krantz2, Owen M Doherty3, Andrew D Jones4 and Stefan Rahimi2, (1)University of California Los Angeles, Los Angeles, CA, United States, (2)University of California Los Angeles, Los Angeles, United States, (3)Eagle Rock Analytics, Sacramento, CA, United States, (4)Lawrence Berkeley National Laboratory, Climate and Ecosystem Sciences Division, Berkeley, CA, United States
 
Current and Future Air Quality Impacts from Wildfires on Facilities and Employees at NASA Centers Estimated using NEX-GDDP Downscaled Climate Projections (1072812)
Elizabeth Brooke Wiggins, NASA Langley Research Center, Hampton, VA, United States, Laura T Iraci, NASA Ames Research Ctr, Moffett Field, CA, United States, Robert D Field, Columbia University, New York, United States; NASA Goddard Institute for Space Studies, New York, United States, Melanie B Follette-Cook, NASA GSFC, Greenbelt, United States, Christopher Hain, National Integrated Drought Information System, Boulder, United States, Olga V. Kalashnikova, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, Douglas C Morton, NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt, MD, United States, Lesley E Ott, NASA Goddard Space Flight Center, Global Modeling and Assimilation Office, Greenbelt, United States, Christopher J Schultz, NASA Marshall Space Flght Ctr, Huntsville, AL, United States, Alexey N Shiklomanov, NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt, United States, Krishna Vadrevu, NASA Marshall Space Flight Center, Earth Science Division, Huntsville, AL, United States, Weile Wang, CSUMB & NASA/AMES, Seaside, United States, Sanketa Kadam, NASA Goddard Space Flight Center, New York, United States and Cynthia Rosenzweig, NASA Goddard Institute for Space Studies, New York, NY, United States
 
Climate Change Impact Assessment on the Tekeze Watershed, Ethiopia: Precipitation and Temperature Projection for Future Water Resources Planning (1078348)
Melese Hailu, Indian Institute of Technology Roorkee, Roorkee, India, Surendra Kumar Mishra, Indian Institute of Technology Roorkee, water Resource Development and management, Roorkee, India, Vijay P. Singh, Texas A&M University at Texas, Department of Biological and Agricultural Engineering, Texas, United States and Sanjay K. Jain, National Institute of Hydrology, Water Resource, River Development, and Ganga Rejuvenation, Roorkee, India
 
A Machine-learning Downscaling Approach for Building High-Resolution Precipitation Dataset over the South Korean region (1084059)
Mohammad Reza Fatihe and Daeha Kim, Jeonbuk National University, Jeonju-si, South Korea
 
Simulated amplified Arctic warming due to incorporating optical attenuation at the sea surface (1093641)
Jian Wei, Texas A&M University, Department of Oceanography, College Station, TX, United States, Ping Yang, Texas A&M Univ, College Station, TX, United States and Steven Francis DiMarco, Geochemical and Environmental Research Group (GERG), College Station, TX, United States
 
Generating High Resolution Daily Soil Moisture by Applying Downscaling Techniques (1096696)
Eshita Eva, The Ohio State University, Columbus, United States and Steven M Quiring, Ohio State University, Columbus, United States
 
Data-driven downscaling of Australian temperature and precipitation extremes using the deep learning models (1098454)
Jyoteeshkumar Papari1, Richard Matear1, John Taylor2, Marcus James Thatcher3 and Michael Richard Grose1, (1)CSIRO, Oceans & Atmosphere, Hobart, TAS, Australia, (2)CSIRO, Data61, Canberra, ACT, Australia, (3)CSIRO, Oceans & Atmosphere, Melbourne, VIC, Australia
 
Downscaled CMIP6 datasets in the Fifth National Climate Assessment (1110714)
Samantha Basile1, Fred Lipschultz2, Kenneth Kunkel3, David R Easterling4 and Allison Crimmins1, (1)US Global Change Research Program, Washington D.C., United States, (2)US Global Change Research Prog, Senior Scientist (Contractor), Washington D.C., DC, United States, (3)North Carolina State University, North Carolina Institute for Climate Studies, Asheville, NC, United States, (4)NOAA/NCDC, Asheville, NC, United States
 
Bias Correction of Daily Temperatures and Precipitation with CMIP6 Models (1111652)
Xinyi Li and Zhong Li, McMaster University, Department of Civil Engineering, Hamilton, ON, Canada
 
Downscaling and Post-processing Wind Fields in Complex Terrain with Deep Learning (1114338)
Clovis Galiez, Univ. Grenoble Alpes, CNRS, Grenoble INP, LJK, Grenoble, France, Grenoble, France, Karbou Fatima, Météo-France/CNRS, CNRM, Centre d'Etude de la Neige, Grenoble, France, Nora Helbig, WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland; Eastern Switzerland University of Applied Sciences, Eastern Switzerland University of Applied Sciences, Switzerland, Isabelle Gouttevin, Météo-France -CNRS CNRM/CEN, Saint Martin d'Heres, France and Louis LeToumelin, Meteo-France - CNRS, CNRM, CEN, Grenoble, Isère, FRANCE
 
Downscaling CMIP6 Models with Localized Constructed Analogs (LOCA) Version 2: an Improved Representation of Precipitation Extremes (Invited) (1116674)
David W Pierce1, Daniel R Cayan2, Daniel Feldman3 and Mark Daniel Risser3, (1)Univ California San Diego, La Jolla, CA, United States, (2)University of California San Diego, La Jolla, CA, United States, (3)Lawrence Berkeley National Laboratory, Berkeley, CA, United States
 
Statistical methods for downscaling and bias correcting CMIP6 data across Central and Southern Florida (1117169)
S M Mushfiqul Hoque, Florida State University, Tallahassee, FL, United States, Ebrahim Ahmadisharaf, FAMU-FSU College of Engineering, Department of Civil and Environmental Engineering, Tallahassee, United States and Nasrin Alamdari, Florida State University, Tallahassee, United States
 
Past and Future Hydro-climatologic Drivers of Precipitation Variability in the Great Lakes Region in CMIP6 (1118520)
Tasmeem Jahan Meem, Syracuse University, Syracuse, NY, United States and Elizabeth Carter, USGS, Moffet Field, CA, United States
 
Downscaling Global Climate Models to Evaluate Extreme Precipitation Events in the U.S. Pacific Northwest (1124096)
Abigail Smith1, Ethan D Gutmann1, Trude Eidhammer2, Chris D Frans3 and Jeffrey Richard Arnold4, (1)National Center for Atmospheric Research, Hydrometeorological Applications Program, Research Applications Laboratory, Boulder, United States, (2)National Center for Atmospheric Research, Boulder, CO, United States, (3)US Army Corps of Engineers, Seattle, WA, United States, (4)MITRE Corporation, Climate + Environmental Sciences Office, McLean, United States
 
Simulations of orographic extreme precipitation in the Western Himalayas during the summer monsoon (1125484)
Suma Bhanu Battula, Indian Institute of Technology Bombay, Department of Civil Enginnering, Mumbai, India; Monash University, School of Earth, Atmosphere and Environment, Melbourne, Australia, Arpita Mondal, Indian Institute of Technology Bombay, Department of Civil Engineering and Interdisciplinary Program in Climate Studies, Mumbai, India and Steven Thomas Siems, Monash University, School of Earth, Atmosphere and Environment, Melbourne, VIC, Australia
 
An interactive web interface to compare the LOcalized Constructed Analogs 2 (LOCA2) with its precursor and CMIP6 (1127477)
Isaac Cho, Utah State University, Computer Science, Logan, United States, Abdullah-Al-Raihan Nayeem, University of North Carolina at Charlotte, Computer Science, Charlotte, United States, Huikyo Lee, NASA Jet Propulsion Laboratory, Pasadena, CA, United States and Daniel Feldman, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
 
Sign of observed California temperature trends depends on data set homogenization: implications for weighting and downscaling (1130051)
Alexander Benedict Charn1, Travis Allen O'Brien2, Mark Daniel Risser3, Julia Longmate4 and Daniel Feldman3, (1)Indiana University Bloomington, Bloomington, IN, United States, (2)Lawrence Berkeley National Lab, Climate & Ecosystem Sciences Division, Berkeley, CA, United States, (3)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (4)Oakland, CA, United States
 
Impact of Multivariate Bias-corrected RCM Lateral Boundary Conditions on Extreme Events (1136569)
Youngil Kim1, Jason Peter Evans1 and Ashish Sharma2, (1)University of New South Wales, Sydney, NSW, Australia, (2)University of New South Wales, School of Civil and Environmental Engineering, Sydney, NSW, Australia
 
Evaluation of Added Values in Regional Climate Information with multi-variable bias adjustment over Japan (1136771)
Koji Dairaku and Saurabh Kelkar, University of Tsukuba, Tsukuba, Japan
 
STATISTICAL DOWNSCALING AND BIAS CORRECTION OF SURFACE METEOROLOGICAL VARIABLES ON REANALYSIS DATASETS OF IMDAA USING MACHINE LEARNING APPROACHES (1137192)
Shraddha Agarwal, Indian Institute of Science Education and Research Bhopal, Bhopal, India, Vivek Kumar Singh, Singapore-MIT Alliance for Research and Technology (SMART), Center for environmental sensing and modeling, Singapore, Singapore and Vaibhav Kumar, Indian Institute of Science Education and Research Bhopal, Bhopal, India
 
A Probabilistic Multi Stage Approach for Statistical Downscaling of Temperature Data (1139953)
Jose George and Athira P, Indian Institute of Technology Palakkad, Civil Engineering, Palakkad, India
 
Application of Statistical Downscaling for Climate Change Assessment of Wind Energy in the Northeast U.S. (1140557)
Tasnim Zaman1, Marina Astitha1, Makduma Badhan1, Yelin Jiang1, Guiling Wang1 and Ethan D Gutmann2, (1)University of Connecticut, Department of Civil and Environmental Engineering, Storrs, United States, (2)National Center for Atmospheric Research, Hydrometeorological Applications Program, Research Applications Laboratory, Boulder, United States
 
BUILDING A HIGH-RESOLUTION CLIMATE DATASET FOR VIETNAM BASED ON ERA5-LAND AND IN-SITU DATA (1141719)
Nguyen Hong, University of Tsukuba, Department of Engineering Mechanics and Energy, Tsukuba, Japan, Thanh Ngo-Duc, University of Science and Technology of Hanoi (USTH), Vietnam Academy of Science and Technology, Department of Space and Aeronautics, Hanoi, Vietnam and Koji Dairaku, University of Tsukuba, Graduate School of Systems and Information Engineering, Tsukuba, Japan
 
How “real” are the differences between and within CMIP5 and CMIP6 downscaled ensemble projections? A formal assessment over Canada and Alaska (1149098)
Ali Nazemi and Masoud Zaerpour, Concordia University, Department of Building, Civil and Environmental Engineering, Montreal, QC, Canada
 
Use of dynamical downscaling to improve the projection of Spring Consecutive Rainfall Events in the Three Gorges Reservoir area of China (1150906)
Yanxin Zheng, China University of Geosciences Wuhan, Wuhan, China and Shuanglin Li, Inst. of Atmos. Phys., CAS, Beijing, China
 
MET Norway Approach to Downscaling of Climate Information (1153083)
Abdelkader Mezghani, Rasmus Benestad, Kajsa M Parding, Andreas Dobler, Jan Erik Haugen and Oskar Andreas Landgren, Norwegian Meteorological Institute, Oslo, Norway
 
From Super-Resolution to Downscaling - An Image-Inpainting Deep Neural Network for High Resolution Weather and Climate Models (1156913)
Christopher Kadow1, Étienne Plésiat1, Johannes Meuer1, Hannes Thiemann1, David Hall2 and Thomas Ludwig1, (1)DKRZ German Climate Computing Centre, Hamburg, Germany, (2)NVIDIA Corporation, Lafayette, United States
 
Impact of Aerosol and greenhouse-gas forcing on late-summer precipitation over the East Asian Transitional climate zone in CMIP6 model (1161625)
Paul Adigun, University of Tsukuba Graduate School of Systems and Information Engineering, Ibaraki, Japan, Dairaku Koji, University of Tsukuba Graduate School of Systems and Information Engineering, Tsukuba, Japan and Ebiendele Precious, University of Tsukuba, Graduate School of Systems and Information Engineering, Tsukuba, Japan
 
How Sensitive are Projections of Cool Season Precipitation on the US West Coast to Microphysical Parameterization Choice? (1168748)
Mimi Hughes1, Dustin J Swales2,3, Abigail Smith4, Rachel Rose McCrary5, William Ryan Currier6, Ethan D Gutmann4, Kelly M Mahoney1, Michael A Alexander7 and Robert Cifelli8, (1)NOAA/ESRL/PSL, Boulder, United States, (2)University of Colorado at Boulder, CIRES, Boulder, CO, United States, (3)National Center for Atmospheric Research, Boulder, United States, (4)National Center for Atmospheric Research, Hydrometeorological Applications Program, Research Applications Laboratory, Boulder, United States, (5)National Center for Atmospheric Research, Research Applications Laboratory, Boulder, CO, United States, (6)National Oceanic and Atmospheric Adminstration, Physical Sciences Laboratory, Boulder, United States, (7)NOAA/Physical Sciences Laboratory, Denver, CO, United States, (8)NOAA Physical Sciences Laboratory, Boulder, CO, United States
 
Comparing model uncertainty from GCMs to downscaling related uncertainty in a statistical model for future Hawaii rainfall (1173180)
Kristen Sanfilippo, University of Hawaii at Manoa, Geography and Environment, Honolulu, HI, United States, Oliver Elison Timm, State University of New York at Albany, Department of Atmospheric and Environmental Sciences, Albany, NY, United States and Thomas W Giambelluca, University of Hawaii at Manoa, Water Resources Research Center, Honolulu, HI, United States
 
Examination of future changes in snowfall, snow water equivalent, and runoff over California in a warming climate using the Intermediate Complexity Atmospheric Research Model (1177857)
Rachel Rose McCrary, National Center for Atmospheric Research, Research Applications Laboratory, Boulder, CO, United States, Ethan D Gutmann, National Center for Atmospheric Research, Hydrometeorological Applications Program, Research Applications Laboratory, Boulder, United States, Mimi Hughes, NOAA/ESRL/PSD, Boulder, CO, United States, William Ryan Currier, National Oceanic and Atmospheric Adminstration, Physical Sciences Laboratory, Boulder, United States and Kelly M Mahoney, Cooperative Institute for Research in Environmental Sciences, Boulder, United States
 
Dynamically downscaled global climate models over the Western United States using the Intermediate Complexity Atmospheric Research Model (1178774)
William Ryan Currier1, Ethan D Gutmann2, Rachel Rose McCrary3, Mimi Hughes4, Bert Kruyt3, Abigail Smith2, Kelly M Mahoney5, Rebecca Smith6, Seth Shanahan7 and James R Prairie8, (1)National Oceanic and Atmospheric Adminstration, Physical Sciences Laboratory, Boulder, United States, (2)National Center for Atmospheric Research, Hydrometeorological Applications Program, Research Applications Laboratory, Boulder, United States, (3)National Center for Atmospheric Research, Research Applications Laboratory, Boulder, CO, United States, (4)NOAA/ESRL/PSD, Boulder, CO, United States, (5)NOAA/ESRL/PSL, Boulder, United States, (6)Bureau of Reclamation, Boulder, United States, (7)Southern Nevada Water Authority, Las Vegas, NV, United States, (8)Bureau of Reclamation, Upper Colorado Region, Boulder, CO, United States
 
Applying globally-derived model weights locally: the spatial sensitivity of model weights for hydroclimate projections (1182115)
Julia Longmate1, Daniel Feldman2 and Mark Daniel Risser2, (1)Oakland, CA, United States, (2)Lawrence Berkeley National Laboratory, Berkeley, CA, United States
 
Improvements To The Intermediate Complexity Atmospheric Research (ICAR) Model For Efficient Dynamical Downscaling. (1183961)
Bert Kruyt1, Ethan D Gutmann2, Trude Eidhammer3, Soren Rasmussen1, Mark S Wigmosta4 and Jeffrey Richard Arnold5, (1)National Center for Atmospheric Research, Research Applications Laboratory, Boulder, CO, United States, (2)National Center for Atmospheric Research, Hydrometeorological Applications Program, Research Applications Laboratory, Boulder, United States, (3)National Center for Atmospheric Research, Boulder, CO, United States, (4)Pacific Northwest National Laboratory, Richland, WA, United States, (5)US Army Engineer Responses to Climate Change Program, Seattle, United States
 
A transfer method to estimate hub-height wind speed from 10 meters wind speed based on machine learning (1187959)
Shuang Yu, Institut Pierre-Simon Laplace, Centre National de la Recherche Scientifique, Paris, France; Lawrence Livermore National Laboratory, San Francisco, United States
 
Global Downscaled CMIP6 Projections for Climate Impacts Research: Preserving Extremes for Modeling Tail Risks (1189235)
Diana R Gergel, BlackRock, Washington, United States, Steven B Malevich, Rhodium Group, New York, United States, Kelly E McCusker, Rhodium Group, Seattle, WA, United States, Emile Tenezakis, Rhodium Group, Oakland, United States, Michael Delgado, Rhodium Group, Oakland, CA, United States and Robert E Kopp, Rutgers University New Brunswick, Institute of Earth, Ocean, and Atmospheric Sciences, New Brunswick, NJ, United States
 
The future changes of extreme weather over S.Korea based on high resolution CMIP6-SQM SSP-RCP scenarios (1191517)
Sera Jo1, Jaepil Cho2, Jina Hur1, Min-gu Kang1, Seung Gil Hong1, Kyo-Moon Shim1, Yongseok Kim1, Seung Beom Seo3 and Hyewon Jeon2, (1)National Institute of Agricultural Sciences, Wanju, South Korea, (2)Integrated Watershed Management Institute, Seoul, South Korea, (3)University of Seoul, Seoul, South Korea
 
Assessing the Reliability of Regional Climate Assessments (1193440)
Ethan D Gutmann1, Nicholas Lybarger1, Andy Wood2, Andrew James Newman3, William Ryan Currier4, Rachel Rose McCrary5, Abigail Smith2 and Chris D Frans6, (1)National Center for Atmospheric Research, Boulder, United States, (2)National Center for Atmospheric Research, Hydrometeorological Applications Program, Research Applications Laboratory, Boulder, United States, (3)NCAR, Boulder, United States, (4)National Oceanic and Atmospheric Adminstration, Physical Sciences Laboratory, Boulder, United States, (5)National Center for Atmospheric Research, Research Applications Laboratory, Boulder, CO, United States, (6)US Army Corps of Engineers, Seattle, Seattle, United States
 
Impact of Climate Change on Hydrology using a Regional Climate Model (1197068)
Ermias Sisay Brhane, University of Tsukuba, Degree program in System and Information Engineering, University of Tsukuba, Tsukuba, Japan and Dairaku Koji, University of Tsukuba Graduate School of Systems and Information Engineering, Tsukuba, Japan
 
Added value of Hybrid Bias Correction and Statistical Downscaling of CMIP6 models in Simulating Extreme Temperature over Nigeria (1198196)
Ebiendele Precious, University of Tsukuba, Graduate School of Systems and Information Engineering, Tsukuba, Japan, Dairaku Koji, University of Tsukuba Graduate School of Systems and Information Engineering, Tsukuba, Japan and Paul Adigun, University of Tsukuba Graduate School of Systems and Information Engineering, Ibaraki, Japan
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