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Update on obs4MIP (and ana4MIPs)

Published byRoland Bradley Modified over 6 years ago

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Presentation on theme: "Update on obs4MIP (and ana4MIPs)"— Presentation transcript:

1 Update on obs4MIP (and ana4MIPs)
WDAC Observations for Model Evaluation Task Team Membership Co-chairs: Peter Gleckler, PCMDI and Duane Waliser, JPL/NASA Sandrine Bony, IPSL Mike Bosilovich, GSFC/NASA Helene Chepfer, IPSL Veronika Erying, DLR Robert Ferraro, JPL/NASA Pierre-Phillipe Mathieu, ESA Roger Saunders, UKMO Jörg Schulz, EUMETSAT Karl Taylor, PCMDI Jean-Noël Thépaut, ECMWF

2 Briefing outline Quick review, general status report
Challenges, possible solutions Strategic considerations Atm reanalysis: ana4MIPs / CREATE-IP

3 obs4MIPs: The 4 Commandments
Satellites Models Model Output Variables Satellite Retrieval Target Quantities Use the CMIP5 Standard Model Output as guideline for selecting observations Observations to be formatted the same as CMIP Model output (e.g. NetCDF files, CF Convention) Hosted side by side on the ESGF with CMIP model output Include a Technical Note for each variable describing observation and use for model evaluation (at graduate student level). Modelers Observation Experts Analysis Community Initial Target

4 Data accessibility for WCRP projects
Earth System Grid Federation (ESGF) will be used for CMIP6 (and, increasingly, many other projects)

5 Data access and project connectedness
Obs4MIPs data (and ana4MIPs) are available through the CoG CoG is directly connected to ESGF CMIP6 is expected to be hosted on the CoG, as are many other projects Obs4MIPs/WCRP logo needed

6 Obs4MIPs progress Contributions accumulating steadily
NASA, NOAA, ESA, EUMETSAT, DLR committing contributions ESGF will be used for CMIP6 CoG environment is strengthening, expanding; e.g., will serve CMIP6, Task team: Healthy and productive interactions Steadily getting grappling with issues Lots to do and think about! …. and growing!

7 Datasets Currently Hosted at obs4MIPs
Obs4MIPs: Current Set of Satellite Observations (Monthly means) Sorted by CF Variable Long Name Air Temperature Ambient Aerosol Optical Thickness at 550 nm CALIPSO 3D Clear fraction CALIPSO 3D Undefined fraction CALIPSO Clear Cloud Fraction CALIPSO Cloud Fraction CALIPSO High Level Cloud Fraction CALIPSO Low Level Cloud Fraction CALIPSO Mid Level Cloud Fraction CALIPSO Scattering Ratio CALIPSO Total Cloud Fraction Cloud Fraction retrieved by MISR CloudSat 94GHz radar Total Cloud Fraction CloudSat Radar Reflectivity CFAD Fraction of Absorbed Photosynthetically Active Radiation ISCCP Cloud Area Fraction (Joint histogram of optical thickness and CTP) ISCCP Mean Cloud Albedo (Cloud-fraction weighted & daytime) ISCCP Mean Cloud Top Pressure (Cloud-fraction weighted & daytime) ISCCP Mean Cloud Top Temperature (Cloud-fraction weighted & daytime) ISCCP Total Cloud Fraction (daytime only) Leaf Area Index Mole Fraction of O3 Near-Surface Wind Speed PARASOL Reflectance Precipitation* Sea Surface Height Above Geoid Sea Surface Temperature Specific Humidity Surface Downwelling Clear-Sky Longwave Radiation Surface Downwelling Clear-Sky Shortwave Radiation Surface Downwelling Longwave Radiation Surface Downwelling Shortwave Radiation Surface Upwelling Clear-Sky Shortwave Radiation Surface Upwelling Longwave Radiation Surface Upwelling Shortwave Radiation TOA Incident Shortwave Radiation TOA Outgoing Clear-Sky Longwave Radiation TOA Outgoing Clear-Sky Shortwave Radiation TOA Outgoing Longwave Radiation TOA Outgoing Shortwave Radiation Total Cloud Fraction Water Vapor Path *3hr data also available Datasets Currently Hosted at obs4MIPs (Variable Long Name) Air Temperature Ambient Aerosol Optical Thickness at 550 nm CALIPSO 3D Clear fraction CALIPSO 3D Undefined fraction CALIPSO Clear Cloud Fraction CALIPSO Cloud Fraction CALIPSO High Level Cloud Fraction CALIPSO Low Level Cloud Fraction CALIPSO Mid Level Cloud Fraction CALIPSO Scattering Ratio CALIPSO Total Cloud Fraction Cloud Fraction retrieved by MISR CloudSat 94GHz radar Total Cloud Fraction CloudSat Radar Reflectivity CFAD Eastward Near-Surface Wind Eastward Wind Fraction of Absorbed Photosynthetically Active Radiation ISCCP Cloud Area Fraction (Joint histogram of optical thickness and cloud top pressure) ISCCP Mean Cloud Albedo (Cloud-fraction weighted & daytime only) ISCCP Mean Cloud Top Pressure (Cloud-fraction weighted & daytime only) ISCCP Mean Cloud Top Temperature (Cloud-fraction weighted & daytime only) ISCCP Total Cloud Fraction (daytime only) Leaf Area Index Mole Fraction of O3 Near-Surface Wind Speed Northward Near-Surface Wind Northward Wind PARASOL Reflectance Precipitation Sea Surface Height Above Geoid Sea Surface Temperature Specific Humidity Surface Downwelling Clear-Sky Longwave Radiation Surface Downwelling Clear-Sky Shortwave Radiation Surface Downwelling Longwave Radiation Surface Downwelling Shortwave Radiation Surface Upwelling Clear-Sky Shortwave Radiation Surface Upwelling Longwave Radiation Surface Upwelling Shortwave Radiation TOA Incident Shortwave Radiation TOA Outgoing Clear-Sky Longwave Radiation TOA Outgoing Clear-Sky Shortwave Radiation TOA Outgoing Longwave Radiation TOA Outgoing Shortwave Radiation Total Cloud Fraction Water Vapor Path

8 Status - tractable work to be done
Improved presentation/organization of CoG site Tech note: PDF -> XML DOI’s on tech note and data. A tech note report series?* A “completeness table”? (described momentarily) Possible adoption of a “maturity matrix” Advertising a “dataset call”, review new proposals* * Could require a moderate amount of effort to do properly

9 obs4MIPs planning meeting for CMIP6
(April 2014, NASA HQ) Selected consensus recommendations that applied to all of the meeting topic areas: Expand the inventory of included datasets Include more higher frequency data and model output (a “golden period”?) Reliable and defendable error characterization/estimation of observations is a high priority, and obs4MIPs should press harder for this Include datasets in support of off-line simulators (prime example: COSP—Cloud Feedback Model Intercomparison Project [CFMIP] Observation Simulator Package) Collocated observations, including sparser in-situ datasets, are particularly valuable for diagnosing certain processes and their inclusion in obs4MIPs should therefore be encouraged Precise definitions of data products (what’s actually being reported), including biases, and precise definitions of the model output variables are required Ferraro et al., BAMS in press and full meeting report on CoG website

10 Some challenges Every step requires work/resources (for data providers and/or members of the task team) Improving the process of data preparation/ESGF (primarily technical) Better defining the process of what datasets get included and how it is catalogued Expansion (e.g., high frequency, in-situ)

11

12 Goals to be met before WDAC-5
Advancements on all “tractable” improvements Define and document a process of data preparation/ESGF Better defining the process of what datasets get included and how it is catalogue

13 Some opportunities and possible pathways
Obs4MIPs has attracted a great deal of attention, with lots of interest in seeing it expanded (e.g., higher frequency satellite data and in situ) A well defined process of hosting/documenting observations could represent a useful protocol for other observational CF/ESGF inventories Organizational options One overarching ESGF observational project or A WCRP/WDAC recommended protocol for many ESGF observational projects? ….

14 Reanalysis for model intercomparison and more…
Jerry Potter Laura Carriere Mike Bosilovich Tsengdar Lee

15 Purpose of ana4MIPs Provide data for CMIP evaluation that is not directly observable Selected variables with high potential for model evaluation Including, but not limited to monthly mean: Standard CMIP5 pressure level Temperature, winds and geopotential height 2m surface temperature and specific humidity Mean sea level pressure and surface winds Possibly some higher frequency data

16 Current reanalysis sources converted to the CMIP5 standard format
Name Source Time Range Assimilation Resolution Available MERRA NASA 1979-present 3D-VAR, with incremental update 2/3 lon x1/2 lat deg 3d Analysis and 2d variables;  1.25 deg 3d Diagnostics ERA-Interim ECMWF 4D-VAR 0.75x0.75 CFSR NCEP 3D-VAR .5x.5 and 2.5x2.5 JRA25 JMA T106 JRA55 1.25x1.25 20CR NOAA/ESRL Ensemble Kalman Filter 2x2

17 The scope of ana4MIP limited
Variables Levels Temporal resolution In order to provide data for a reanalysis intercomparison – new project was envisioned

18 Collaborative REAnalysis Technical Environment – Intercomparison Project (CREATE-IP)
Expanded reanalysis intercomparison Up-to-date (annually if not monthly) Monthly data High frequency (1hr, 3hr, 6hr) for limited number of variables All available levels Include increments (O-A and O-F) Include observations as available Part of a total environment – science cloud, analytics, ontology, visualization, API Interaction with reanalysis and outside user communities

19 Purpose of CREATE-IP Improve reanalyses and access
Co-location and improved data discovery Common data formats Broader use by other communities Biodiversity, water supply, agriculture, wind power, pandemics Uncertainty quantification - assessing appropriate use of reanalysis Study inhomogeneity CREATE-IP data is available on the CoG and follows the CMIP data convention!

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