A Multi-Sensor Water Vapor Climate Data Record Using Cloud Classification
Principal Investigator (PI): Dr Eric Fetzer, NASA's Jet Propulsion Laboratory
We are assembling a record of atmospheric water vapor using a variety of recent and historic data sets. This work is coordinated with NASA"s Making Earth System Data Records for Use in Research Environments (MEaSUREs) water vapor record effort titled "Improvement of the NVAP Global Water Vapor Data Set for Climate, Hydrological, and Weather Studies." The goal of the combined effort is a long term, credible record of atmospheric water vapor scanning several decades.
We hypothesize that both clouds and water vapor are changing, so both must be tracked carefully to understand climate variability. Most of our effort will utilize the state-of-the-art humidity and temperature observations from space made by NASA's Atmospheric Infrared Sounder (AIRS)/Advanced Microwave Sounding Unit (AMSU)/Humidity Sounder for Brazil (HSB), Advanced Microwave Scanning Radiometer—EOS (AMSR-E), Microwave Limb Sounder (MLS), and Moderate Resolution Imaging Spectroradiometer (MODIS) in the A-Train satellite constellation. We are currently assembling a multi-year record of A-Train water vapor and temperature observations. We will use the multi-sensor A-Train observations to classify individual water vapor scenes by cloud type, using well-established cloud classification methods. Initially, our cloud classes are the standard cloud class product created by the CloudSat team, and these will be applied to AIRS and AMSR-E water vapor observations. We will next apply CloudSat cloud classes to MODIS and MLS, where appropriate. We will also examine the feasibility of extending similar classes to other cloud observations, especially those from MODIS. If feasible, the MODIS classes will be applied to the entire A-Train record. The resulting data sets are designed to separate trends due to changes in water vapor from trends due to in viewing conditions induced by clouds or precipitation.
This record will be merged with the historic record in several ways. Radiances from two MLS instruments—one currently on Aura and an earlier one on the Upper Atmosphere Research Satellite (UARS) satellite—will be processed using a consistent algorithm to provide relative humidity observations in the upper troposphere dating back to 1991. Microwave-only observations from operational satellite sensors are less affected by clouds than are infrared observations so are less susceptible to cloud-induced changes in sampling. We will use microwave water vapor observations from recent operational microwave instruments, co-located with A-Train observations, to constrain trends in the A-Train data. Because operational microwave data are fundamental to the NASA Water Vapor Project (NVAP) effort, this comparison will be coordinated with the NVAP team as they update their record into the A-Train era starting in 2002. We will also examine the feasibility of classifying the NVAP observations using well-established cloud classes provided by the International Satellite Cloud Climatology Project (ISCCP) climatology. The NVAP record begins in 1987 with the Special Sensor Microwave Imager (SSM/I) instruments. We will also work with the NVAP team to examine the possibility of extending the atmospheric water vapor record back in time to 1979 when the TOVS instruments from began operating.
Distributed by the Goddard Earth Sciences Data and Information Services Center (GES DISC)
Last Updated: Feb 18, 2020 at 2:00 PM EST