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Improvement of the NVAP Global Water Vapor Data Set for Climate, Hydrological and Weather Studies

Improvement of the NVAP Global Water Vapor Data Set for Climate, Hydrological and Weather Studies Thomas H. Vonder Haar, John M. Forsythe, Janice L. Bytheway. SSM/I (ocean only). HIRS (global).

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Improvement of the NVAP Global Water Vapor Data Set for Climate, Hydrological and Weather Studies

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  1. Improvement of the NVAP Global Water Vapor Data Set for Climate, Hydrological and Weather Studies Thomas H. Vonder Haar, John M. Forsythe, Janice L. Bytheway SSM/I (ocean only) HIRS (global) • Goal:Reanalyze and extend the NASA Water Vapor Project (NVAP) dataset to create a climate quality data record of total and layered atmospheric water vapor with temporally consistent inputs. • Key Innovations: • User-specific approach to development and dataset creation. • Inclusion of new and previously unused datasets. • Inclusion of datasets with improved quality control. • Removal of time-dependent biases from existing dataset. Daily average total precipitable water (TPW) in mm PRELIMINARY RESULT, NOT FOR DISTRIBUTION Time series of daily global average total precipitable water (TPW) from the HIRS (NOAA satellites, clear sky only), SSM/I (DMSP satellites, ocean only) and the AIRS instrument (clear sky only). Generally, the results from intercalibrated datasets follow closely, except for the switch from HIRS/2 to HIRS/3 in 1998 and known issues on DMSP F15 starting on August 14, 2006. HIRS and AIRS values are lower than those from SSM/I because these data are being processed globally only for clear-sky, while SSM/I data is being processed over ocean only for both clear and cloudy conditions. • NASA Relevance: • NASA Earth Science studies, particularly those related to climate change, require stable, high quality records of global atmospheric variables. • Collaboration with other NASA scientists during project benefits multiple factions of the agency. • Accomplishments to date: • Finalized selection of input datasets and retrieval algorithms. • Performed validation of individual retrieval results. • Preliminary (Version 0) dataset production. 1987-2009. • Created project website: http://nvap.stcnet.com • Collaboration with JPL MEaSUREs project. • Oral and poster presentations at scientific meetings. • Schedule (FY11): • Process and distribute Beta version of the data for selected time periods to “expert” users for examination • Work closely with Langley ASDC to prepare for dataset delivery. • Participate in Metrics Planning and Reporting Working Group as needed. • Begin metrics reporting. • Process and deliver NVAP-M dataset to Langley ASDC • Prepare journal article announcing and detailing the NVAP-M dataset.

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