A Hydrologically-Consistent Multi-Satellite Climatology of Evaporation, Precipitation, and Water Vapor Transport Over the Oceans Project team: Frank Wentz.

Slides:



Advertisements
Similar presentations
Precipitation in IGWCO The objectives of IGWCO require time series of accurate gridded precipitation fields with fine spatial and temporal resolution for.
Advertisements

Changes in Water Vapour, Clear-sky Radiative Cooling and Precipitation
The Original TRMM Science Objectives An assessment 15 years after launch Christian Kummerow Colorado State University 4 th International TRMM/GPM Science.
Empirical Analysis and Statistical Modeling of Errors in Satellite Precipitation Sensors Yudong Tian, Ling Tang, Robert Adler, and Xin Lin University of.
Communicating Uncertainties for Microwave-Based ESDRs Frank J. Wentz, Carl A. Mears, and Deborah K. Smith Remote Sensing Systems, Santa Rosa CA Supported.
All-Weather Wind Vector Measurements from Intercalibrated Active and Passive Microwave Satellite Sensors Thomas Meissner Lucrezia Ricciardulli Frank Wentz.
Quality Control of the ATLAS II Precipitation Gauge Data Jeremy Lehmann Beth Tfiloh High School, Grade 12 Mentor: Dr. George Huffman Mesoscale Atmospheric.
The Global Precipitation Climatology Project – Accomplishments and future outlook Arnold Gruber Director of the GPCP NOAA NESDIS IPWG September 2002,
Maintaining and Improving the AMSR-E and WindSat Ocean Products Frank J. Wentz Remote Sensing Systems, Santa Rosa CA AMSR TIM Agenda 4-5 September 2013.
Menglin Jin Department of Atmospheric & Oceanic Science University of Maryland, College park Observed Land Impacts on Clouds, Water Vapor, and Rainfall.
One estimate of global water distribution Volume (1000 km 3 ) Percent of Total Water Percent of Fresh Water Oceans, Seas, & Bays1,338, Ice caps,
MWR Algorithms (Wentz): Provide and validate wind, rain and sea ice [TBD] retrieval algorithms for MWR data Between now and launch (April 2011) 1. In-orbit.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Science Support for NASA-NOAA Research to Operations (R2O) and GPM Ralph.
A New Satellite Wind Climatology from QuikSCAT, WindSat, AMSR-E and SSM/I Frank J. Wentz (presenting), Lucrezia Ricciardulli, Thomas Meissner, and Deborah.
The Relation Between SST, Clouds, Precipitation and Wave Structures Across the Equatorial Pacific Anita D. Rapp and Chris Kummerow 14 July 2008 AMSR Science.
© University of Reading Hadley Centre Workshop: Improving predictions of the large- scale hydrological cycle Agreement/discrepancies.
Trends & Variability of Liquid Water Clouds from Eighteen Years of Microwave Satellite Data: Initial Results 6 July 2006 Chris O’Dell & Ralf Bennartz University.
Session 2: Improved Situational Awareness Sixth Meeting of the Science Advisory Committee 28 February – 1 March 2012 Future Activities National Space Science.
Evaluation of Passive Microwave Rainfall Estimates Using TRMM PR and Ground Measurements as References Xin Lin and Arthur Y. Hou NASA Goddard Space Flight.
Trends in Tropical Water Vapor ( ): Satellite and GCM Comparison Satellite Observed ---- Model Simulated __ Held and Soden 2006: Robust Responses.
TRMM TMI Rainfall Retrieval Algorithm C. Kummerow Colorado State University 2nd IPWG Meeting Monterey, CA. 25 Oct Towards a parametric algorithm.
The Inter-Calibration of AMSR-E with WindSat, F13 SSM/I, and F17 SSM/IS Frank J. Wentz Remote Sensing Systems 1 Presented to the AMSR-E Science Team June.
Active/Passive Microwave Observations Provide Essential Climate Variables for Studying Hydrologic Cycle Probably the Greatest Consequences of Our Warming.
Geophysical Ocean Products from AMSR-E & WindSAT Chelle L. Gentemann, Frank Wentz, Thomas Meissner, Kyle Hilburn, Deborah Smith, and Marty Brewer
COMPARING HRPP PRODUCTS OVER LARGE SPACE AND TIME SCALES Wesley Berg Department of Atmospheric Science Colorado State University.
Satellite Retrieval of Atmospheric Water Budget Over Gulf of Mexico-Caribbean Sea Basin Pablo Santos 1 & Eric A. Smith 2 1 National Weather Service, Miami,
November 28, 2006 Derivation and Evaluation of Multi- Sensor SST Error Characteristics Gary Wick 1 and Sandra Castro 2 1 NOAA Earth System Research Laboratory.
A New Ocean Suite Algorithm for AMSR2 David I. Duncan September 16 th, 2015 AMSR Science Team Meeting Huntsville, AL.
AMSR-E and WindSAT Version 7 Microwave SSTs C. Gentemann, F. Wentz, T. Meissner, & L.Riccardulli Remote Sensing Systems NASA SST ST October.
Heating of Earth's climate continues in the 2000s based upon satellite data and ocean observations Richard P. Allan 1, N. Loeb 2, J. Lyman 3, G. Johnson.
Current changes in precipitation and moisture Richard P. Allan, Chunlei Liu, Matthias Zahn Department of Meteorology, University of Reading Thanks to George.
“CMORPH” is a method that creates spatially & temporally complete information using existing precipitation products that are derived from passive microwave.
National Aeronautics and Space Administration Jet Propulsion Laboratory California Institute of Technology Pasadena, California
A New Climatology of Surface Energy Budget for the Detection and Modeling of Water and Energy Cycle Change across Sub-seasonal to Decadal Timescales Jingfeng.
Principal Investigator: Eni G. Njoku
Ralf Bennartz1,2, John Rausch1,Tom Greenwald2,
Requirements for microwave inter-calibration
NEWS linkages: (pull, push, collaborate, external)
Project Title: Global Precipitation Variations and Extremes
NEWS linkages: (pull, push, collaborate, external)
Principal Investigator: William Olson
Global hydrological forcing: current understanding
P. Minnis A. DelGenio Project Title: A Study of Arctic Radiation Budget using CERES/MODIS Satellite and.
Satellite-based data: ISCCP, GPCP.
The HOAPS-3 climatology
Investigation of Atmospheric Recycling Rate from Observation and Model PI: Xun Jiang1; Co-I: Yuk L. Yung2 1 Department of Earth & Atmospheric Sciences,
PI: R. Adler (NASA/GSFC) Co-I’s: G. Huffman, G. Gu, S.Curtis
Other data: ARM, CEOP, USGS and Global Runoff Data
Understanding Current Observed Changes in the Global Water Cycle
Climate change and the global water cycle
Current global and regional changes in atmospheric water vapour
NEWS linkages: (pull, push, collaborate, external)
Project Title: The Sensitivity of the Global Water and Energy Cycles:
Oceanic Origin of the Precipitation Jump in the Sahel
Predictability and Model Verification of the Water and Energy Cycles:
How and why is rainfall changing across the globe?
Satellite-based data: ISCCP, GPCP.
Project Title: Water and Energy Budget Study (WEBS)
Project Title: Oceanic Influence on Global Water/Energy Cycle
Project Title: A Merged Atmospheric Water Data Set from the A-Train
Get final-look Atlas/Ardizzone wind product.
Investigator: B. Lin Integrated satellite global energy data sets for climate analysis and modeling studies Investigator: B. Lin
PI: R. Adler (NASA/GSFC) Co-I’s: G. Huffman, G. Gu, S.Curtis
Climate change and the global water cycle
Thomas Smith1 Phillip A. Arkin2 George J. Huffman3 John J. Bates1
Snowfall changes and climate sensitivity
Integrated Satellite Global Energy Data for Climate Studies
Water and Energy Cycle Project Office (WECPO)
CURRENT Energy Budget Changes
Project Title: Water and Energy Budget Study (WEBS)
Presentation transcript:

A Hydrologically-Consistent Multi-Satellite Climatology of Evaporation, Precipitation, and Water Vapor Transport Over the Oceans Project team: Frank Wentz (frank.wentz@remss.com) and Kyle Hilburn (hilburn@remss.com) Project status: Year 1 & 2 (completed): Evaporation: developed algorithm, studied uncertainties, published Science paper. Precipitation: rain algorithm intercalibration, mid-latitude collaboration with George Huffman, JAMC paper. Water vapor transport: developed and tested feature tracking, studied surface wind relationship to water vapor transport, evaluated Atlas/Ardizzone NASA DISCOVER winds. Year 3 (now): Complete and release Version-01 NEWS Passive Microwave Water Cycle (PMWC) product to the NEWS team for review. Year 4&5: Implement suggestions from the NEWS team. Add uncertainty estimates to product. Science issue: There is no product that provides an accurate and consistent picture of the global water cycle. We are developing a product that combines data from several satellites to provide a balanced water cycle characterization. Approach: We are using intercalibrated and validated passive microwave satellite observations of wind speed and water vapor to estimate water vapor transport. Satellite-based data: We are using 20-years of satellite data from 6 SSM/I on DMSP, TMI on TRMM, and AMSR on Aqua and Midori-II. NEWS linkages: (pull, push, collaborate, external) Get final-look Atlas/Ardizzone wind product. Released Version-01 PMWC product to the team for review. Evaluating product with help from the team. Collaborate with Pete Robertson, Brian Soden, and Hassan Syed evaporation and water vapor transport parameters. We are collaborating with Joe Ardizzone as we use and study his NASA DISCOVER wind product. We are also collaborating with Deborah Smith as we use and study her NASA DISCOVER water vapor product. Major Result to go in lower left side: Figures should not be too complex or busy – this example is probably the limit of acceptable complexity. Global evaporation balances global precipitation: E = 962 mm/year and P = 951 mm/year. The imbalance is on the order of 1%. Trends in evaporation and precipitation have the same magnitude as trends in water vapor: E trend = 1.3 % / decade, P trend = 1.5 % / decade, and water vapor trend = 1.4 % / decade. This is in contrast with climate prediction models, which predict a muted response by precipitation. See Wentz et al., 2007, Science. Updated: February 11, 2008