The Cross-track Infrared Sounder (CrIS) is an infrared Fourier Transform Spectrometer onboard the Suomi-NPP (SNPP), JPSS-1, and JPSS-2 satellites. The CrIS instrument was designed to provide an optimum combination of optical performance, high radiometric accuracy, and compact packaging. While CrIS was developed primarily as a temperature and water vapor profiling instrument for weather forecasting, its high accuracy and extensive information about trace gases, clouds, dust, and surface properties make it a powerful tool for climate applications.The goal of the NASA CrIS Level 1B project is to support NASA climate research by providing a climate quality Level 1B (geolocation and calibration) algorithm and create long-term measurement records for the CrIS instruments currently on-orbit on the SNPP, JPSS-1, and JPSS-2 satellites, and for those to be launched on JPSS-3 and JPSS-4. The long-term objectives of the project include:Create well-documented and transparent software that produces climate quality CrIS Level 1B data to continue or improve on EOS-like data records, and to provide this software and associated documentation to the NASA Sounder Science Investigator-led Processing System (SIPS). Provide long-term monitoring and validation of the CrIS Level 1B data record from SNPP and JPSS-1 through JPSS-4, and long-term maintenance and refinement of the Level 1B software to enable full mission reprocessing as often as needed. Provide a homogeneous radiance product across all CrIS sensors through the end of the CrIS series lifetime, with rigorous radiance uncertainty estimates. Develop and support of the CrIS/VIIRS IMG software and datasets, which provide a subset of Visible Infrared Imaging Radiometer Suite (VIIRS) products that are co-located to the CrIS footprints. Develop and support of the Climate Hyperspectral Infrared Product (CHIRP) for the AIRS and CrIS sounders. The CHIRP product converts the parent instrument's radiances to a common Spectral Response Function (SRF) and removes inter-satellite biases, providing a consistent inter-satellite radiance record. The NASA CrIS products are available via the NASA Goddard Earth Sciences (GES) Data and Information Services Center (DISC) at https://www.earthdata.nasa.gov/sensors/cris. This presentation will include (1) an overview of the NASA Level 1B calibration algorithm and product, (2) example post-launch calibration/validation results demonstrating the accuracy and stability of the CrIS Level 1B data, and (3) example science results.

The Cross-track Infrared Sounder (CrIS) is an infrared Fourier Transform Spectrometer onboard the Suomi-NPP (SNPP), JPSS-1, and JPSS-2 satellites. The CrIS instrument was designed to provide an optimum combination of optical performance, high radiometric accuracy, and compact packaging. While CrIS was developed primarily as a temperature and water vapor profiling instrument for weather forecasting, its high accuracy and extensive information about trace gases, clouds, dust, and surface properties make it a powerful tool for climate applications.The goal of the NASA CrIS Level 1B project is to support NASA climate research by providing a climate quality Level 1B (geolocation and calibration) algorithm and create long-term measurement records for the CrIS instruments currently on-orbit on the SNPP, JPSS-1, and JPSS-2 satellites, and for those to be launched on JPSS-3 and JPSS-4. The long-term objectives of the project include:Create well-documented and transparent software that produces climate quality CrIS Level 1B data to continue or improve on EOS-like data records, and to provide this software and associated documentation to the NASA Sounder Science Investigator-led Processing System (SIPS). Provide long-term monitoring and validation of the CrIS Level 1B data record from SNPP and JPSS-1 through JPSS-4, and long-term maintenance and refinement of the Level 1B software to enable full mission reprocessing as often as needed. Provide a homogeneous radiance product across all CrIS sensors through the end of the CrIS series lifetime, with rigorous radiance uncertainty estimates. Develop and support of the CrIS/VIIRS IMG software and datasets, which provide a subset of Visible Infrared Imaging Radiometer Suite (VIIRS) products that are co-located to the CrIS footprints. Develop and support of the Climate Hyperspectral Infrared Product (CHIRP) for the AIRS and CrIS sounders. The CHIRP product converts the parent instrument's radiances to a common Spectral Response Function (SRF) and removes inter-satellite biases, providing a consistent inter-satellite radiance record. The NASA CrIS products are available via the NASA Goddard Earth Sciences (GES) Data and Information Services Center (DISC) at https://www.earthdata.nasa.gov/sensors/cris. This presentation will include (1) an overview of the NASA Level 1B calibration algorithm and product, (2) example post-launch calibration/validation results demonstrating the accuracy and stability of the CrIS Level 1B data, and (3) example science results.

We analyze atmospheric state retrievals from S-HIS measurements taken from NASA's Global Hawk aircraft during the 2012-2014 HS3 field campaign. Results will be compared to measurements from collocated AVAPS (dropsonde) and CPL (lidar) that operated alongside the S-HIS during the entire mission.

The Cross-Track Infrared Sounder (CrIS) is a Fourier Transform Michelson interferometer instrument launched on board the Suomi National Polar-Orbiting Partnership (Suomi NPP) satellite on 28 October 2011. CrIS provides measurements of Earth view interferograms in three infrared spectral bands at 30 cross-track positions, each with a 3x3 array of field of views. The CrIS ground processing software transforms the measured interferograms into calibrated and geolocated spectra in the form of Sensor Data Records (SDRs) that cover spectral bands from 650 to 1095cm(-1), 1210 to 1750cm(-1), and 2155 to 2550cm(-1) with spectral resolutions of 0.625cm(-1), 1.25cm(-1), and 2.5cm(-1), respectively. During the time since launch a team of subject matter experts from government, academia, and industry has been engaged in postlaunch CrIS calibration and validation activities. The CrIS SDR product is defined by three validation stages: Beta, Provisional, and Validated. The product reached Beta and Provisional validation stages on 19 April 2012 and 31 January 2013, respectively. For Beta and Provisional SDR data, the estimated absolute spectral calibration uncertainty is less than 3ppm in the long-wave and midwave bands, and the estimated 3 sigma radiometric uncertainty for all Earth scenes is less than 0.3K in the long-wave band and less than 0.2K in the midwave and short-wave bands. The geolocation uncertainty for near nadir pixels is less than 0.4km in the cross-track and in-track directions.

The Cross-track Infrared Sounder (CrIS) is a high spectral resolution infrared sounder on the Suomi-NPP satellite. CrIS will compliment and extend similar data records begun by the Atmospheric Infrared Sounder (AIRS) on EOS-Aqua and by the Infrared Atmospheric Sounding Interferometer (IASI) on METOP. Primary uses of CrIS include assimilation of the radiance data into NWP models for medium range weather forecasting, retrievals of vertical profiles and temperature and water vapor, and various climate studies. Following Suomi-NPP launch on 28 October 2011, the CrIS was powered on on 20 January 2012. As part of NOAA and NASA efforts, over the past several months CIMSS/SSEC researchers have played a key role in the early checkout of the sensor including fine tuning of various calibration coefficients and characterization of the sensor's performance.

The Cross-track Infrared Sounder (CrIS) is a high spectral resolution infrared sounder on the Suomi-NPP satellite. CrIS will compliment and extend similar data records begun by the Atmospheric Infrared Sounder (AIRS) on EOS-Aqua and by the Infrared Atmospheric Sounding Interferometer (IASI) on METOP. Primary uses of CrIS include assimilation of the radiance data into NWP models for medium range weather forecasting, retrievals of vertical profiles and temperature and water vapor, and various climate studies. Following Suomi-NPP launch on 28 October 2011, the CrIS was powered on on 20 January 2012. As part of NOAA and NASA efforts over the past year, CIMSS/SSEC researchers have played a key role in the post-launch cal/val efforts including fine tuning of various calibration coefficients and characterization of the sensor's performance.

The microphysical properties of cirrus clouds are uncertain due to the problem of ice particles shattering at the probe inlet upon sampling. To facilitate better estimation of small ice crystal concentrations in cirrus clouds, a new ground-based remote sensing technique has been used in combination with in situ aircraft measurements. Data from the Mixed-Phase Arctic Cloud Experiment (M-PACE), conducted at the north slope of Alaska (winter 2004), have been used to test a new method for retrieving the liquid water path (LWP) and ice water path (IWP) in mixed phase clouds. The framework of the retrieval algorithm consists of the modified anomalous diffraction approximation or MADA (for mixed phase cloud optical properties), a radar reflectivity-ice microphysics relationship and a temperature-dependent ice particle size distribution (PSD) scheme. Cloud thermal emission measurements made by the ground-based Atmospheric Emitted Radiance Interferometer (AERI) yield information on the total water path (TWP) while reflectivity measurements from the Millimeter Cloud Radar (MMCR) are used to derive the IWP. The AERI is also used to indicate the concentration of small ice crystals (D < 50 mu m) relative to the larger ice particles. Combining this small crystal information with the PSD scheme describing the larger particle concentrations yields the retrieved PSD. Small ice crystals are evaluated using the absorption properties of photon tunneling or wave resonance while the liquid water fraction is evaluated using classical Beer's law absorption. While this is still a work in progress, the anticipated products from this AERI-radar retrieval scheme are the IWP, LWP, small-to-large ice crystal number concentration ratio and effective diameter for cirrus, as well as the ice particle number concentration for a given ice water content (IWC).

Penn State NATIVE Facility: Provided in situ measurements of O3, NO2, CO, SO2, and other measurements as well as several O3 profiles from ozonesondes AERI: University of Wisconsin instrument provided continuous measurements of boundary layer temperature and humidity In support of NASA’s GEO-CAPE mission, the CAPABLE site at NASA Langley Research Center has been established to assess the relationship between high temporal resolution measurements from space and continuous in situ surface observations. During Aug 2009, NO2 column density measurements of high temporal and high spectral resolution were made using a ground-based Pandora spectrometer concurrently with a suite of in situ trace gas measurements provided by Penn State’s NATIVE (Nittany Atmospheric Trailer and Integrated Validation Experiment) mobile research laboratory. Continuous boundary layer measurements of temperature, humidity and winds were provided using the University of Wisconsin Atmospheric Emitted Radiance Interferometer (AERI) and a wind lidar system. The use of this boundary layer information will provide valuable information relating spectrally derived NO2 column measurements to what is observed at the surface by the in situ instruments. We present preliminary results of the correlation of co-located NO2 column density with in situ NO2 throughout the diurnal evolution of the boundary layer. We will also compare with daily satellite NO2 column density from OMI and GOME-2.

Cirrus cloud ice crystal concentrations corresponding to maximum dimensions less than 60 microns have been difficult to measure, with some instruments reporting their concentrations up to 3 orders of magnitude higher relative to the larger (60-100 μm) ice crystals. Whether these are really found in nature or are artifacts caused by shattering at the instrument inlet needs to be determined since the climatology predicted by global climate models (GCMs) depends strongly on how they are represented. This paper addresses this question by applying new insights into the light absorption process to satellite remote sensing. The number concentration ratio of small (D < 60 μm) to larger ice particles is retrieved, as well as the ice water path (IWP), effective diameter (De), and cirrus optical depth, using split-window channels to address the small ice crystals.