OTD LIS heritage figureThe Lightning Imaging Sensor (LIS) Science Team announces the release of version 2.3.2011 of the LIS/OTD Climatology data sets. The LIS/OTD Climatology data sets consist of gridded climatologies of total lightning flash rates seen by the spaceborne Optical Transient Detector (OTD) and Lightning Imaging Sensor (LIS). These data sets can be ordered from the GHRC DAAC using HyDRO.

More information on the LIS/OTD Climatology data sets can be found at


GCPEX logoNASA is currently flying an airborne science laboratory above Canadian snowstorms to tackle a difficult challenge facing the upcoming Global Precipitation Measurement (GPM) satellite mission -- measuring snowfall from space. Working with Environment Canada, NASA's GPM Cold-season Precipitation Experiment (GCPEx) is measuring light rain and snow in Ontario from Jan. 17 to Feb. 29.

More information on the GCPEx Experiment can be found at


MC3E logoThe Midlatitude Continental Convective Clouds Experiment (MC3E) took place in central Oklahoma April–May 2011. The experiment was a collaborative effort between the U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Climate Research Facility and the National Aeronautics and Space Administration’s (NASA) Global Precipitation Measurement (GPM) mission Ground Validation (GV) program.

The field campaign leveraged the unprecedented observing infrastructure currently available in the central United States, combined with an extensive sounding array, remote sensing and in situ aircraft observations, NASA GPM ground validation remote sensors, and new ARM instrumentation purchased with American Recovery and Reinvestment Act funding. The overarching goal was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterization's and space-based rainfall retrieval algorithms over land that have never before been available.

The GHRC is the archive and distribution center for ground validation data collected during the MC3E Experiment.

More information on the MC3E Experiment can be found at


GRIP logoThe Genesis and Rapid Intensification Processes (GRIP) experiment was a NASA Earth science field experiment conducted August 5 to September 30, 2010. The major goal was to better understand how tropical storms form and develop into major hurricanes. NASA used the DC-8 aircraft, the WB-57 aircraft and the Global Hawk Unmanned Airborne System (UAS), configured with a suite of in situ and remote sensing instruments that were used to observe and characterize the lifecycle of hurricanes. This campaign also capitalized on a number of ground networks and space-based assets, in addition to the instruments deployed on aircraft from Ft. Lauderdale, Florida (DC-8), Houston, Texas (WB-57), and NASA Dryden Flight Research Center, California (Global Hawk).
Data from the GRIP field experiment is now available at the GHRC.
More information on the GRIP field experiment can be found at


LANCE logoThe near real-time LANCE AMSR-E system at the AMSR-E SIPS and GHRC DAAC is pleased to announce that we have integrated a new Version 11 L2A near real-time algorithm from Remote Sensing Systems (RSS) into our processing systems. These much improved version 11 brightness temperatures, as well as the corresponding L2B and L3 daily derived products, are available in the operational areas on our lance servers.

This new near real-time (NRT) L2A algorithm is comparable to the Version 11 L2A algorithm currently used at the AMSR-E SIPS. We are seeing only very small differences (less than 1 Kelvin in most cases) in the data produced by the new NRT Version 11 algorithm compared to the Version 11 standard data product algorithm.
The primary differences between the new Version 11 NRT L2A code and the L2A science code used in the SIPS for generating research-quality L2A brightness temperatures are:

  • For estimating the cold mirror spillover at 7-GHz, a climatology for the Earth's 7-GHz antenna temperature (TA) is used. The SIPS science code uses a combination of climatology and actual observations, when available. However using actual observations requires saving data from the previous orbit. The error introduced by this simplification for NRT processing is the spillover value (0.004) times the error in specifying TA (typically 15 K). Thus the typical error in the L2A brightness temperature at 7-GHz is 0.06 K.
  • For NRT processing, the effective temperature for the hot load is computed from a static table as compared to the SIPS science code that uses a dynamic effective temperature based on ancillary data. The science code also averages over the previous orbit to obtain a smoothed effective temperature. The typical error between the static and dynamic effective temperature is 0.2 K but can be higher at certain times of the year and latitudes.

The Version 11 NRT data are significantly improved compared to the current Version 9 NRT data. A major improvement from the current NRT algorithm is:

  • RSS added the glint angles of the DirecTV 1 0 and 11 satellites to the Geostationary_Satellite_Glint_Angles field. The low glint angles correlate well with the recent observed RFI artifacts. Over oceans, RFI can be intense: +50 K for 18.7V, and +100 K for 18.7H. Cases this large correspond to low wind conditions with very smooth seas. Initial analysis over land did not reveal significant RFI impacts. The affected period for this RFI is from July, 2007 forward.

We will continue to evaluate the version 11 NRT data during the next year and document our findings on our LANCE site at


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