NOAA-CREST RESEARCH: ATMOSPHERE - CLIMATE APPLICATION AND REMOTE SENSING
Research in the area of atmospheric remote sensing is consistent to two NOAA Mission Goals: Climate Mission Goal: Understanding climate variability and change to enhance society’s ability to plan and respond, and Weather and Water Mission Goal: Serve society’s needs for weather and water information. Within this thrust climate and air quality impacts are the two major activities, each with a team consisting of a number of groups.

Climate Applications and Remote Sensing (CARS)
Middle Atmospheric Remote Sensing: (Lead CREST/HU)
Goals:
• Incorporate A-Train data validation and analysis to investigate stratosphere-troposphere exchange, transport, and chemistry processes.

• Construct global aerosol, cloud, and trace-gas climatologies derived from satellite measurements (e.g. SAGE II/III, CALIPSO, SBUV/2, MODIS, etc.).

• Improve multiple-linear-regression models (e.g. an upper stratospheric chlorine proxy derived from HALOE-measured and model-calculated HCl) for application in trace-gas trend estimates and climatology development.

• Improve our ability to retrieve ozone profiles from existing LS measurements (most notably from the SAGE III mission) by improving the forward model and retrieval algorithm, and by applying the lessons learned to the OMPS mission.

• Introduce and test a LS stratospheric aerosol retrieval algorithm, suitable for use in the OMPS mission and to improve all LS retrievals by addressing the issue of inhomogenous Scenes;
• Work with NESDIS on new remote sensing techniques, applications, and potential future satellite missions;

• Continue validation and improvement of ozone retrievals from the NOAA-9, NOAA-11, NOAA-14, NOAA-16, NOAA-17, and NOAA-18 SBUV/2 version 8 data sets.

• Study the time dependence of the differences between the SBUV/2 and other satellite based instruments and continued determination of ozone trend estimates from the SBUV/2, SAGE II/III, and HALOE data records.

• Develop an ozone profile retrieval algorithm from measurements made with Brewer Spectrometers.

• Determine the bias in coincident Brewer and Dobson ozone estimates and to study the possible ways to combine these ozone data sets including SBUV/2.
Integrated Analysis of Global Observations to Search for Causes of Climate Variations CREST and NASA GISS:
Goals:
To continue extension of the radiative flux analysis to the full exchanges of
energy and water by using new observation-based and model-based estimates oof the surface fluxes, precipitation and atmospheric winds and ocean currents.
Hyperspectral Remote Sensing with Sounding Spectrometers
Goals:
Development of algorithms for sensing atmospheric temperature and moisture
profiles, surface temperature and emissivity, cloud geometric and optical properties, and aerosol and trace gas (e.g., ozone and CO) concentrations for climate, weather and air chemistry applications.
Hyperspectral Data Compression Algorithms
Goals:
To analyze sensor noise, not simply to estimate optimal compression, but to facilitate a cost-benefit analysis of lossless versus near-lossless compression and develop suitable analysis metrics, which balance cost, speed, accuracy etc.