{"id":449,"date":"2025-12-05T22:03:17","date_gmt":"2025-12-05T22:03:17","guid":{"rendered":"https:\/\/atmos.ucla.edu\/rongfu\/?page_id=449"},"modified":"2025-12-05T22:03:17","modified_gmt":"2025-12-05T22:03:17","slug":"projects","status":"publish","type":"page","link":"https:\/\/atmos.ucla.edu\/rongfu\/projects\/","title":{"rendered":"Projects"},"content":{"rendered":"\n

Current Projects<\/h2>\n\n\n\n
    \n
  1. PI<\/strong>: A probabilistic characterization of the interaction between large-scale atmosphereic, land surface and fire to enable improvement of drought early warnings over the Great Plains and California. NOAA MAPP-FY20, 2020-2023.<\/li>\n\n\n\n
  2. PI<\/strong>:\u00a0<\/strong>The Cross-equatorial Influences of South American Rainfall on the North Atlantic and Adjacent Continents. NSF, 2019-2022.<\/li>\n\n\n\n
  3. PI<\/strong>:\u00a0Develop a prototype statistical seasonal prediction system for precipitation and river flow for the Upper Colorado River Catchment. CDWR, 2019-2020.<\/li>\n\n\n\n
  4. PI<\/strong>: Clarifying the influence of the multiscale coupling between land surface, shallow and deep convection, and large-scale circulation on the predictability of summer drought over the US Great Plains from sub-seasonal to seasonal scales. NOAA MAPP-FY17, Drought, 2017\u00a0\u2013\u00a02020.<\/li>\n\n\n\n
  5. PI<\/strong>: Improve the Drought Early Warning Indicator over the US Great Plains In Supporting the Nation\u2019s Resilience to Extreme Climate Events, NASA Climate Assessment Products and Indicators. NASA, 2016 \u2013 2019.<\/li>\n\n\n\n
  6. Co-PI<\/strong>:\u00a0<\/strong>From Boundary Layer to Deep Convection: The Multi-Plume Eddy-Diffusivity \/ Mass-Flux (EDMF) Unified Parameterization. NOAA\/NSF, 2019-2022.<\/li>\n<\/ol>\n\n\n\n

    <\/p>\n\n\n\n

    <\/p>\n\n\n\n

    Past Projects<\/h2>\n\n\n\n
      \n
    1. PI<\/strong>: Using the GoAmazon-CHUVA measurements to understand what causes the biases in the onset of the rainy season in Amazonia in climate models, DOE, 2014 \u2013 2017.<\/li>\n\n\n\n
    2. Co-PI<\/strong>: Sub-Seasonal Prediction with CCSM4, NOAA MAPP, CTB, 2016\u00a0\u2013\u00a02018.<\/li>\n\n\n\n
    3. Co-PI<\/strong>: Soil Moisture Characterization for Biogenic Emissions Modeling in Texas, Quality Assurance Project Plan. (PI: Elena McDonald-Buller, Chemical Engineering, University of Texas at Austin)<\/li>\n\n\n\n
    4. Co-I<\/strong>: Absorptive aerosols and clouds: Application of the PNNL-MMF model and analysis of Cloudsat-Calipso, A-train, and Geosynchronous data\u201d, NASA ACMAP, 2013 \u2013 2016, Subcontract to JSG\/Rong Fu.<\/li>\n\n\n\n
    5. PI<\/strong>: Rainfall Extremes and Variability over Amazonia: Understanding the Mechanisms and Consequences Using Satellite Observations and CMIP5 Models, NASA Earth System Science Fellowship to Lei Yin, August 2013\u00a0\u2013\u00a0July 2016, JSG\/RongFu\/Lei Yin, $90,000 ($30,000\/yr, upto three years or to student receive PhD, whatever comes first).<\/li>\n\n\n\n
    6. PI<\/strong>:Develop a climate indicator in Supporting the Nation\u2019s Resilience to \u201cflash\u201d droughts over the US Great Plains, NASA Indicator System Team membership to INCA12, 2013\u00a0\u2013\u00a02014.<\/li>\n\n\n\n
    7. Co-PI<\/strong>: Host of UCAR-Applying Climate Expertise Postdoctoral Fellowship Program (PACE). August 2011 \u2013 July 2013. matching fund from NOAA.<\/li>\n\n\n\n
    8. PI<\/strong>: Exploring the Impacts of Climate Variations and Land Use on Interannual Changes of CO in the Tropical Tropopause Layer Using Multi-Year Aura and A-Train Measurements, NASA Aura, July 2011 \u2013 June 2014.<\/li>\n\n\n\n
    9. PI<\/strong>: Changes in Intraseasonal to Interannual Variability of the Pan American Monsoons Under a Warmer Climate and Their Impacts on Extreme Events as Assessed. by the CMIP5 Models and Observations, NOAA-CPPA, June 2010 \u2013 May 2013.<\/li>\n\n\n\n
    10. Co-PI<\/strong>: Impact of Droughts Related to Climate Change on Water Resources in the High Plains Aquifer, Bureau of Reclamation, 2011 \u2013 2012 (PI : Bridget Scanlon).<\/li>\n\n\n\n
    11. PI<\/strong>: \u201cChanges of Rainfall Seasonality and Drought Severity over Amazonia and Their Connections to Global Climate Change NSF\u201d, September 2009 \u2013 August 2012.<\/li>\n\n\n\n
    12. PI<\/strong>: \u201cPathways for Transport of Fire Generated Tracers to the Tropical Tropopause Layer as Determined by Aura MLS\/TES and Other A-Train Measurements Atmospheric composition: Aura science team,\u201d ROSES-2007 NRA A.11, February 2009 \u2013 March 2012.<\/li>\n\n\n\n
    13. PI<\/strong>: \u201cWater Cycle between Ocean and Land and its Influence on Climate Variability over the South American-Atlantic Regions as Determined by QuikSCAT\/SeaWinds Observations\u201d the Ocean Vector Winds Science Team, ROSES-2005 NRA, June 2006 \u2013 May 2010.<\/li>\n\n\n\n
    14. PI<\/strong>: \u201cRoles of Land Surface Processes and Large-Scale Atmospheric Circulation in Determining the Transition to Warm Season Precipitation Regime and Summer Drought in the Southeast United States, NOAA Climate Prediction Program for the Americas, April 2006 \u2013 March 2009.<\/li>\n\n\n\n
    15. PI<\/strong>: \u201cStatistical characterization of atmospheric water vapor transports using Aura and other measurements in support of Aura model validation and data assimilation.\u201d NASA, Aura Science Team, December 2006\u00a0\u2013\u00a0February 2010 to UT Austin.<\/li>\n\n\n\n
    16. PI<\/strong>: \u201cInvestigating the Influences of Vegetation, Biomass Burning, clouds on Wet Season Onset over the Amazon Using Terra, Aqua in conjunction with In Situ and Other Satellite Data Sets\u201d, Earth System Science Research Using Data and Products from Terra, Aqua and ACRIM Satellites, NASA, July 2004\u00a0\u2013\u00a0June 2007.<\/li>\n\n\n\n
    17. Co-I<\/strong>:\u201dDynamics and predictability of rainy season onset and demise for South America in observations and GCM simulations,\u201d NOAA CPPA, 2004\u00a0\u2013\u00a02007.<\/li>\n\n\n\n
    18. PI<\/strong>: \u201cSymposium to Celebrate 40 years of Climate Research. DOE, the Office of Science (BER), 2005 (Grant No DE-FG02-05ER64078).<\/li>\n\n\n\n
    19. PI<\/strong>: \u201cCharacterize Mesoscale Convective Complex systems over Tibet Plateau using multiple satellite observations\u201d, the Natural Science Foundation of China, 2005-2007 matched by Chinese Academy of Science for the same period.<\/li>\n\n\n\n
    20. PI<\/strong>: \u201cDiagnosis of the Mechanisms that Control the Seasonal Geographic Advancement and Retreat of the Rainy Areas over South America\u201d, Office of Global Program, NOAA, June 2003 \u2013 July 2006.<\/li>\n\n\n\n
    21. PI<\/strong>: \u201cDiagnostics of interannual variation of rainfall over South America and its interaction with atmospheric circulation over North Atlantic\u201d, to Division of Climate, Modeling, Analysis and Prediction, NSF, February 2003 \u2013 January 2005.<\/li>\n\n\n\n
    22. PI<\/strong>: \u201cInvestigating the influences of changes in convection types and boundary layer clouds on intraseasonal to interannual variations of precipitation over Amazon and on the tropical upper troposphere water vapor using ESE multi-satellite sensors,\u201d the Global Water and Energy Cycle Research Analysis, Office of Earth Sciences, NASA, 2002 \u2013 2005.<\/li>\n\n\n\n
    23. PI<\/strong>: \u201cInvestigating the influence of ocean and land surface vegetation on the seasonal and interannual variations of precipitation over Amazon through use of SeaWinds scatterometer data and atmospheric model simulations\u201d, Ocean Vector Winds Science Team (OVWST) of NASA Mission to Planet Earth and Earth Observing System Science, 2000 \u2013 2005.<\/li>\n\n\n\n
    24. Co-I<\/strong>: \u201cCharacteristics and predictability of the extratropical atmospheric response to the ENSO cycle\u201d, Office of Global Programs, NOAA, 2001 \u2013 2004.<\/li>\n\n\n\n
    25. PI<\/strong>: \u201cWhat controls the seasonal and interannual variations of precipitation in tropical South America? \u2013 A combined observational and climate model study of ocean-atmosphere-land coupling for improving climate prediction\u201d, Office of Global Programs, NOAA, 1998\u00a0\u2013\u00a02001.<\/li>\n\n\n\n
    26. PI<\/strong>: \u201cUsing UARS MLS to investigate the impacts of troposphere convection and planetary-scale and synoptic waves on the lower stratosphere water vapor in the tropics and mid-latitudes\u201d, NASA Mission to Planet Earth Upper Atmosphere Research Satellite Science Investigator Program, 1998\u00a0\u2013\u00a02000.<\/li>\n\n\n\n
    27. PI<\/strong>: \u201cThe role of atmosphere-land-ocean coupling in determining clouds, precipitation and water vapor\u201d, NASA Mission To Planet Earth New Investigator Program, 1996 \u2013 1999.<\/li>\n\n\n\n
    28. PI<\/strong>: \u201cA Career Development Plan with Primary Emphasis on a Process Study of Upper Troposphere Water Vapor in Midlatitude.\u201d NSF Early Career Development Program, 1995 \u2013 1998.<\/li>\n\n\n\n
    29. PI<\/strong>: \u201cUse of Satellite and In situ Meteorological Data to Improve the Climate Predictions in the Equatorial and South America Through a Better Understanding of Amazon Convection.\u201d Office of Global Programs, NOAA, April 1, 1995 \u2013 March 31, 1997.<\/li>\n\n\n\n
    30. Co-I<\/strong>: \u201cLand-ocean-atmosphere interaction: mechanisms for the seasonal variations in precipitation over tropical land\u201d, NSF, 1998\u00a0\u2013\u00a02003.<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

      Current Projects Past Projects<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-449","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/atmos.ucla.edu\/rongfu\/wp-json\/wp\/v2\/pages\/449","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/atmos.ucla.edu\/rongfu\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/atmos.ucla.edu\/rongfu\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/atmos.ucla.edu\/rongfu\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/atmos.ucla.edu\/rongfu\/wp-json\/wp\/v2\/comments?post=449"}],"version-history":[{"count":1,"href":"https:\/\/atmos.ucla.edu\/rongfu\/wp-json\/wp\/v2\/pages\/449\/revisions"}],"predecessor-version":[{"id":450,"href":"https:\/\/atmos.ucla.edu\/rongfu\/wp-json\/wp\/v2\/pages\/449\/revisions\/450"}],"wp:attachment":[{"href":"https:\/\/atmos.ucla.edu\/rongfu\/wp-json\/wp\/v2\/media?parent=449"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}