Suomi NPP CrIS measurements, sensor data record algorithm, calibration and validation activities, and record data quality

Han, Yong; Revercomb, Henry E.; Cromp, Mike; Gu, Degui; Johnson, David G.; Mooney, Daniel L.; Scott, Deron; Strow, L. Larrabee; Bingham, Gail E.; Borg, Lori; Chen, Yong; DeSlover, Daniel H.; Esplin, Mark P.; Hagan, Denise E.; Jin, Xin; Knuteson, Robert O.; Motteler, Howard E.; Predina, Joe; Suwinski, Lawrence; Taylor, Joe K.; Tobin, David C.; Tremblay, Denis; Wang, Chunming; Wang, Lihong; Wang, Likun; Zavyalov, Vladimir V.

doi:10.1002/2013jd020344

Cited by 213 publications

(166 citation statements)

References 25 publications

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“…All nominally have global coverage although note that spectra actually available from the GDR-SI instruments are very limited in both spatial and temporal coverage [26] to yield insight into the response of the climate system to the forcing due primarily to their short duration and the sampling of IMG in particular.…”

Section: A Topic Revisited: 1990s-early 2000smentioning

confidence: 99%

The Spectral Signature of Recent Climate Change

Brindley

Bantges

2016

Curr Clim Change Rep

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Spectrally resolved measurements of the Earth's reflected shortwave (RSW) and outgoing longwave radiation (OLR) at the top of the atmosphere intrinsically contain the imprints of a multitude of climate relevant parameters. Here, we review the progress made in directly using such observations to diagnose and attribute change within the Earth system over the past four decades. We show how changes associated with perturbations such as increasing greenhouse gases are expected to be manifested across the spectrum and illustrate the enhanced discriminatory power that spectral resolution provides over broadband radiation measurements. Advances in formal detection and attribution techniques and in the design of climate model evaluation exercises employing spectrally resolved data are highlighted. We illustrate how spectral observations have been used to provide insight into key climate feedback processes and quantify multi-year variability but also indicate potential barriers to further progress. Suggestions for future research priorities in this area are provided.

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Section: A Topic Revisited: 1990s-early 2000smentioning

confidence: 99%

The Spectral Signature of Recent Climate Change

Brindley

Bantges

2016

Curr Clim Change Rep

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“…We make an additional "snapshot" comparison with (multilayer) cloud observations by the combined CloudSat cloud profiling radar (Stephens et al, 2002) and the Cloud-Aerosol Lidar and Infrared Pathfinder Satllite Observations lidar (CALIPSO;Winker et al, 2007), using the 2B-CLDCLASS-LIDAR product (Wang et al, 2013). Figure 7 compares AIRS-OE cloud-top retrievals against near-coincident CloudSat/CALIPSO (CsC) observations, using the same date and region as in Figure 2 of Wang et al 35 (2016), who compared MODIS cloud classifications and CsC profiles.…”

Section: Comparison With Cloudsat/calipsomentioning

confidence: 99%

Single-footprint retrievals of temperature, water vapor and cloud properties from AIRS

Irion¹,

Kahn²,

Schreier³

et al. 2017

Preprint

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Abstract. Single-footprint Atmospheric Infrared Sounder spectra are used in an optimal estimation-based algorithm (AIRS-OE) for simultaneous retrieval of atmospheric temperature, water vapor, surface temperature, cloud-top temperature, effective cloud optical depth and effective cloud particle radius. In a departure from currently operational AIRS retrievals (AIRS-V6), cloud 10 scattering and absorption are in the radiative transfer forward model, and Level 1b AIRS thermal infrared data are used directly rather than Level 2 cloud-cleared spectra. Coincident MODIS Level 2 cloud data are used for cloud a priori. Using Level 1b spectra improves the horizontal resolution of the AIRS retrieval from ~45 km to ~13.5 km at nadir, but as microwave data are not used, retrieval is not made at altitudes below thick clouds. An outline of the AIRS-OE retrieval procedure and information content analysis is presented. Initial comparison of AIRS-OE to AIRS-V6 results show increased horizontal detail in the water 15 vapor and relative humidity fields in the free troposphere above clouds. Comparisions of temperature, water vapor and relative humidity profiles against coincident radiosondes show good agreement. Future improvements to the retrieval algorithm, and to the forward model in particular, are discussed.

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“…[22] The CrIS high spectral resolution and wavelength coverage enables the derivation of temperature and water vapor profiles with a vertical resolution from 1 to 2 km in the troposphere, and 3-5 km in the stratosphere [Xiong et al, 2008;Han et al, 2013]. Figure 5 shows an example of the details in global upper tropospheric water vapor provided by one single CrIS channel at 6.7 μm.…”

Section: Atms and Crismentioning

confidence: 99%

Joint Polar Satellite System: The United States next generation civilian polar‐orbiting environmental satellite system

Goldberg¹,

Kilcoyne²,

Cikanek³

et al. 2013

JGR Atmospheres

193

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NOAA's next generation polar‐orbiting environmental satellite system, designated as the Joint Polar Satellite System (JPSS), was proposed in February 2010, as part of the President's Fiscal Year 2011 budget request, to be the Civilian successor to the restructured National Polar‐Orbiting Operational Environmental Satellite System (NPOESS). Beginning 1 October 2013, the JPSS baseline consists of a suite of five instruments: advanced microwave and infrared sounders critical for short‐ and medium‐range weather forecasting; an advanced visible and infrared imager needed for environmental assessments such as snow/ice cover, droughts, volcanic ash, forest fires and surface temperature; ozone sensor primarily used for global monitoring of ozone and input to weather and climate models; and an Earth radiation budget sensor for monitoring the Earth's energy budget. NASA will fund the Earth radiation budget sensor and the ozone limb sensor for the second JPSS operational satellite—JPSS‐2. JPSS is implemented through a partnership between NOAA and the U.S. National Aeronautics and Space Administration (NASA). NOAA is responsible for overall funding; maintaining the high‐level requirements; establishing international and interagency partnerships; developing the science and algorithms, and user engagement; NOAA also provides product data distribution and archiving of JPSS data. NASA's role is to serve as acquisition Center of Excellence, providing acquisition of instruments, spacecraft and the multimission ground system, and early mission implementation through turnover to NOAA for operations.

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Suomi NPP CrIS measurements, sensor data record algorithm, calibration and validation activities, and record data quality

Cited by 213 publications

References 25 publications

The Spectral Signature of Recent Climate Change

The Spectral Signature of Recent Climate Change

Single-footprint retrievals of temperature, water vapor and cloud properties from AIRS

Joint Polar Satellite System: The United States next generation civilian polar‐orbiting environmental satellite system

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