The GEWEX Global Data Product CEOS Freshwater Space

The GEWEX Global Data Product CEOS Freshwater Space

The GEWEX Global Data Product CEOS Freshwater Space Worksho Delft, November 13 15, 2018 GEWEX We as a community part of the World Climate Research Programme initiate stimulate, facilitate and foster interna research collaboration on energy and water cycle related processes in clima and weather science GEWEX Data and Analysis Panel (GDAP) is the most involved in production, assessments and stewardship of global observational data products Co-Chairs: Remy Roca & Tristan LEcuyer GEWEX Hydroclimatology Panel (GHP) more involved at the regional scale, application and evaluation/validation Co-Chairs: Jason Evans & Joan Cuxart

A New GDAP Vision Consistency as a way of life! Precipitation An integrated approach to energywater-mass consistency based on refined uncertainty characterization Sea level Radiation Gravimetry Surface Flux Cloud A mission Run Core buissness Sponsor production and analysis of dataset from satellite (e.g., ISCCP, GPCP) Sponsor assessment of dataset to improve uncertainty estimation for data records Sponsor ground based network (e.g., BSRN, GPCC) Act as an interface between the GEWEX activities and the data PROES, GAP, GASS , Concept-Heat , conference 2018 organisation

Represent GEWEX at various WCRP meetings, WMO and other requests From to assess adequacy of observing system to data prize to DOI .. ENDORSED DATA PRODUCTS 1. Cloud (ISCCP): 2. Precipitation (GPCP): 3. Surface turbulent flux (Seaflux) 4. Radiation (surf+ toa) (SRB) 5. Aerosols

6. Land flux* 7. Integrated Product 8. Soil moisture 9. Ground water 10. Surface wate/runoff 11. Snow/Icr All teams are involved in producing, validating and improving their products *unclear future continuation Int. Sat. Cloud Climatology Project (1982) (legacy product) ISCCP Production NOAA NCEI (National Centers for Environmental Information) To develop the expertise and capabilities to producs, understand, and operationally maintain the International Satellite Cloud Climatology Project (ISCCP) H-Series Climate Data Record Additional Goals to sufficiently maintain the products and expand user

base: Understand end-user needs for ISCCP Cloud Products to shore up stakeholder involvement and feedback Engage SPC partners to acquire QCd geostationary data Drive and support analysis of climate indicators using ISCCP data Continuing a Key Climate Data Record: ISCCP-Next Generation Cloud properties constitute a core geophysical climate record Instruments and expertise exist to generate a calibrated, global, 10-channel, multi-parameter cloud at 3 km with 30 minute coverage Heritage to deal with such data volumes also exists (e.g. AIRS and MODIS) Excellent opportunity for coordinated NASA and NOAA activity to maximize scientific benefits of new geostationary and low-earth orbiting satellites GDAP endorses the formation of a team to develop a unified analysis approach built around the current geostationary radiance data record augmented by MODIS/VIIRS and sounder cloud information Agency support for a series of international workshops

Target 2021 for initial implementation A multi-institutional (multi-national) processing chain similar to ISCCP is encouraged Individual satellite operators, collect, quality control, and sub-sample radiances and provide these data to an analysis center that would conduct a refined calibration and the quantitative cloud analysis. Data products to be archived and distributed by existing data centers. GPCP Global Precipitation Products Version 2.3 NASA, NOAA, DWD, UMD, GMU, others Monthly, 2.5 Merged Analysis (1979-present) Hydromet. Adler et al. (2003), J. Huffman et al. (2009) GRL Pentad, 2.5 Merged Analysis (1979-present) Climate Xie et al. (2003) J. Daily, 1 Merged Analysis (1997-present)

Hydromet. Huffman et al. (2001) J. [although produced using different data sets and algorithms, products are integrated,i.e. they add up] normally produced ~ 3 months after observation time SeaFlux International project under the auspices of the GEWEX Data and Assessments Panel: to improve our understanding and determination of ocean surface turbulent fluxes Our main questions: What is feasible in terms of resolution and length-of-time series for satellite data? Can we produce a high resolution dataset using satellites that is better than conventional climatology and NWP products? What are the best methods for creating this dataset? How do the different datasets perform under varying applications? Elements of the project include: Evaluation of global flux products Providing library of flux datasets and in situ data sets for easy comparisons by

researchers Production of a high-resolution (1o, 3 hourly) turbulent flux dataset SeaFlux CDR version 2 Near-surface air temperature, humidity, and winds Based on Roberts et al. (2010) neural net technique

CLW content used to remove rain-contamination (except for F08) F10 F18, pixels segregated by clear/cloudy sky One neural net for F08, two for all others (total) SSM/I and SSMIS from CSU FCDR SST 1999 Latent Heat Flux Pre-dawn based on Reynolds OISST Diurnal correction Uses SRB, CERES, FLASHFlux for radiation, HOAPS, GPCP and now MERRA for precipitation

Land mask from NOAA GSHHG, ice mask from AVHRR ice fraction, ISCCP ice shelf Uses neural net version of COARE Gap-filling methodology -- use of MERRA2 variability 3 hour Available from 1988 through mid-2017 1999 Sensible Heat Flux LandFlux: data production V1 V1:1984-2007 3-hourly global runs of latent heat flux from GLEAM, PT-JPL, PM-MOD with GEWEX-like forcings (mainly SRB), publicy available from the LandFlux website. The GEWEX Surface Radiation Budget Project: Release 4 Integrated Product Progress and Plans

GEWEX Data and Assessments Panel Meeting Boulder, CO 10-12 October, 2017 Paul W. Stackhouse, Jr. NASA LaRC Stephen J. Cox, J. Colleen Mikovitz, Taiping Zhang SSAI SRB Release 3 Data Products (Spatial Resolution: 1o x 1o; 7/83 12/07) Data Types SW LW Input Property Model Name Temporal Resolution

Parameters GEWEX SW (Pinker/Laszlo) (v3.0) 3-hourly, Monthly Averaged 3-hourly, Daily and Monthly Averaged (UTC and local sun time) LPSA (Staylor/ Gupta) (v3.0) Daily, Monthly All-sky: Surface down, up, PAR down; TOA Down, Up Clear-Sky: Surface Down, Up; TOA Up All-sky: Surface Down, Net, and Albedo

Clear-sky: Surface Down GEWEX LW (Fu/Liou/ Stackhouse) (v3.1) 3-hourly, Monthly Averaged 3-hourly, Daily and Monthly Averaged All-sky and clear-sky: TOA up; Surface Up and Down LPLA (Gupta) (v3.0) 3-hourly, Monthly Averaged 3-hourly, Daily and Monthly Averaged All-sky Surface Downward, Net; Cloud Radiative Forcing

3-Hourly Surface emissivity, skin temperature, atmospheric profile; cloud phase, fraction, optical depth and LWC CLDPROPS Note: The LPSA and LPLA algorithms are also used in CERES Surface-Only 11 Oct 2017 GDAP 2017 14 SRB Rel 4 versions, global fluxes: 2007 Rel 3.0 Rel 4 baseline (OLD algorithm, NEW inputs

HXS Beta1) Rel 4 gamma Rel 4 iota (NEW algorithm, (NEW OLD inputs - DX) algorithm, NEW inputs -HXS Beta1) Rel 4 nu (NEW algorithm, NEW inputs HXS V01) Surface down 186.1 186.1 182.3 184.3

184.8 Surface down diffuse 104.1 105.8 95.0 96.2 100.1 TOA Up 104.4 104.2 103.1

100.4 100.5 Clear surface down 247.6 246.8 240.5 239.9 239.9 Pristine surface down 258.5

258.5 252.8 252.1 252.2 Surface albedo 0.131 0.132 0.137 0.126 Surface net 163.5 163.7

158.7 161.9 Cloud Radiative Effect -61.5 -60.7 -58.2 1 Dec 2016 GDAP 2016 -55.6 -55.1 15

GEWEX SRB: Research to Decisions NASA Earth-Sun Satellite Analysis and Modeling Projects: POWER/SSE Project Solar and meteorological parameters in specialized units (ISCCP, GEWEX SRB, CERES FLASHFlux, GMAO GEOS) Satellite observations, analysis and modeling Adaptation and validation of parameters Surface Solar Irradiance (W m-2)

RETScreen International Decision Support System design and planning tool POWER/SSE Datasets and Web interface Data Accessibility through Web Interface 200+ Parameters (most on-the-fly) ~ 450,000 Global Users (~15,000 unique users, ~ 1,200,000 hits and 230,000 data downloads per month) 16

GEWEX SRB: Next Steps Will re-access assumptions regarding => cloud merging and gridding (1-2 months) Compare and homogenize with HGG Reprocess 2005-2009 with revised calibration tables and cloud properties Will be assessing changes to cloud properties Compare to CERES, BSRN and assess Production time required for 1x1: 10 years per month Redeliver at 1x1 time periods needed; considering not reprocessing 30 years at 1x1 => 2000 - 2009 Progress of conversion to o x o nearly completed Using full equal area sampling and data production grid Will provide data provides at the o x o equal angle Testing aspects on Cloud based system 11 Oct 2017 GDAP 2017 17

Aerosols (Stephan Kinne) spatial context by global Modeling: AeroCom MACv2 from sunphotometry to aerosol component distributions Test period: 1 Jan 2007 31 Dec 2007 1, 3-hourly equal-area grid ISCCP Clouds, MAC V2.0 Aerosols, SRB Radiation (TOA & Sfc) Land/SeaFlux for Sensible and Latent heat flux, GPCP Precipitation ERA-Interim for Water Vapor transport, CAPE, dynamical context

The Integrated Product ASSESSMENTS 1. 2. 3. 4. 5. 6. Aerosols Soil moisture Clouds (with ICWG) Water vapor Precipitation (including the Joint IPWG-GEWEX effort) Towards a guide for GEWEX assessment Related Activities GEWEX Integrated Dataset GEWEX sponsored or supported datasets on a common 1, 3-hourly, , 3-hourly,

equal-area grid Supports regional water and energy budget closure analyses User workshop in Spain in 2019 Integrated Surface Water and Energy Assessments Advance land-ET and surface radiation measurements by explicitly linking to new/proposed land surface temperature, soil moisture, terrestrial water storage, and ground heat storage assessment activities Earths Energy Imbalance Grew out of CLIVAR CONCEPT-HEAT and NASA NEWS Integrated assessment of methods for quantifying fundamental driver of climate and reconciling top-of-atmosphere vs. surface perspectives Other particular points of interest

More attention to extremes precip (and hence high temp/spat obs) Strong focus on the human dimension on the water cycle e.g. Better incorporate irrigation (effects) in models Interface with Socio economics (and their influence on fresh water) Water for the Food Baskets of the World ANDEX North America (GWF, Western US) Europ (PANNEX) Asia (TPE and SE Asia) Thank You Our Vision: Our Mission: Our Themes:

Water for the Food Baskets Supply and demand in a human controlled water cycle Balancing the Budgets Getting the energy and fluxes globally accurate Dating and Coupling Land Atmosphere interactions processes and benchmarking of models Science on the Edges Extremes in water and energy processes and phenomena

Recently Viewed Presentations

  • Why Not Store Everything in Main Memory? Why use disks?

    Why Not Store Everything in Main Memory? Why use disks?

    d(x,C) ≡ lim d(x,Cn) lim sidelengthn sidelength1 * lim ½n = 0 x See 2012_05_07 notes for level-4 circle. K-means: Assign each pt to closest mean and increment sum, count for mean recalculation (1 scan).
  • WELCOME []

    WELCOME []

    Note: Students coded Y or N must have a code E, F or U on the Discipline/Resultant Action Code element. Changes. Appendix P, Definitions for Incident Reporting. SESIR Poster/Definitions and Guidelines. SESIR Edits. Reports for Request.
  • Dress for Success: Women - Welcome to Magda's ESL Class

    Dress for Success: Women - Welcome to Magda's ESL Class

    Dress for Success: Women. ... Although your interview attire should be professional and conservative, you can experiment with color. A tasteful dress in an interesting color, like muted turquoise or deep red, is a good addition to your interview wardrobe....
  • The Puzzle of Life's Diversity - Teachers.Henrico Webserver

    The Puzzle of Life's Diversity - Teachers.Henrico Webserver

    The Puzzle of Life's Diversity Section 15-1 This section outlines Charles Darwin's contribution to science. It also describes the pattern of diversity he observed among organisms of the Galápagos Islands. ... He was an English naturalist. d. The voyage lasted...
  • PAR-CLEVER : A Faster Clustering Algorithm

    PAR-CLEVER : A Faster Clustering Algorithm

    Chung Sheng CHEN, Nauful SHAIKH, Panitee CHAROENRATTANARUK, Christoph F. EICK, Nouhad RIZK and Edgar GABRIEL Department of Computer Science, University of Houston . Talk Organization. Randomized Hill Climbing. CLEVER—A Prototype-based Clustering Algorithm which Supports Fitness Functions
  • Acids and Bases

    Acids and Bases

    How do we define a base? A base is a substance which reacts with an acid to form water. i.e. undergoes neutralisation!!! What's the difference between an alkali and a base? An alkali is soluble in water. This fits in...
  • Changes to Life Safety Compliance

    Changes to Life Safety Compliance

    Changes to Life Safety Compliance Healthcare leaders will have to deal with many changes in Life Safety compliance when the 2012 edition of the Life Safety Code (LSC) is finally adopted by the Centers for Medicare & Medicaid Services (CMS)...
  • Chapter 1 DEMOCRACY AND AMERICAN POLITICS Pearson Education,

    Chapter 1 DEMOCRACY AND AMERICAN POLITICS Pearson Education,

    chapter 1 democracy and american politics