N: 90 S: -90 E: 180 W: -180
Description
WARNING: To users of the derived product “co_mmr_midtrop” (carbon monoxide mass mixing ratio to dry air [kg/kg] at ~500 hPa). This variable has a significant bias due to a conversion error: the molecular weight of carbon dioxide (CO2, 44.01 g/mol) was used instead of carbon monoxide (CO, 28.01 g/mol). To correct, simply multiply “co_mmr_midtrop” by 28.01/44.01. Alternatively, derive a profile of mass mixing ratio from scratch using the retrieved column density values (“mol_lay/co_mol_lay”) in the Level 2 files. For further questions or concerns please contact the Sounder SIPS at: sounder.sips@jpl.nasa.gov
The CLIMCAPS (Community Long-term Infrared Microwave Coupled Product System) algorithm is used to analyze data from the Cross-track Infrared Sounder/Advanced Technology Microwave Sounder (CrIS/ATMS) instruments, also known as CrIMSS (Cross-track Infrared and Microwave Sounding Suite). The CrIS/ATMS instruments used for this product are on board the NOAA-20 platform, also known as JPSS-1. The CrIS instrument is a Fourier transform spectrometer with a total of 2211 FSR (Full Spectral Resolution) infrared sounding channels covering the longwave (645-1095 cm-1), midwave (1210-1750 cm-1), and shortwave (2100-2550 cm-1) spectral regions. The ATMS instrument is a cross-track scanner with 22 channels in spectral bands from 23 GHz through 183 GHz.
The CLIMCAPS algorithm uses an Optimal Estimation methodology and uses an a-priori first guess to start the process. A CLIMCAPS sounding is comprised of a set of parameters that characterizes the full atmospheric state and includes a variety of geophysical parameters derived from the CrIMSS data. These include surface temperature and infrared emissivity; full atmosphere profiles of temperature, water vapor and ozone; infrared effective cloud top characteristics; carbon monoxide, methane, carbon dioxide, sulfur dioxide, nitrous oxide, and nitric acid. The CLIMCAPS algorithm uses data from the second Modern-Era Retrospective analysis for Research and Applications (MERRA-2) as a first-guess for the atmospheric state. Because MERRA-2 products typically have a latency from 3 to 7 weeks, so too do the CLIMCAPS products.
A level 2 granule has been set as 6 minutes of data, 30 footprints cross track by 45 lines along track. There are 240 granules per day, with an orbit repeat cycle of approximately 16 day.
Product Summary
Citation
Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.
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Documents
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
PRODUCT QUALITY ASSESSMENT
Variables
The table below lists the variables contained within a single granule for this dataset. Variables often contain observed or derived geophysical measurements collected from a variety of sources, including remote sensing instruments on satellite and airborne platforms, field campaigns, in situ measurements, and model outputs. The terms variable, parameter, scientific data set, layer, and band have been used across NASA’s Earth science disciplines; however, variable is the designated nomenclature in NASA’s Common Metadata Repository (CMR). Variable metadata attributes such as Name, Description, Units, Data Type, Fill Value, Valid Range, and Scale Factor allow users to efficiently process and analyze the data. The full range of attributes may not be applicable to all variables. Additional information on variable attributes is typically available in the data, user guide, and/or other product documentation.
For questions on a specific variable, please use the Earthdata Forum.
| Name Sort descending | Description | Units | Data Type | Fill Value | Valid Range | Scale Factor | Offset |
|---|---|---|---|---|---|---|---|
| scan_mid_time | midscan TAI93 from SNDRJ1IML2CCPRET_2 | seconds since 1993-01-01 00:00 | N/A | N/A | N/A | N/A | N/A |
| so2_dof | Sulfur Dioxide profile DOFs from SNDRJ1IML2CCPRET_2 | 1 | N/A | N/A | N/A | N/A | N/A |
| solar_beta_angle | beta angle from SNDRJ1IML2CCPRET_2 | degree | N/A | N/A | N/A | N/A | N/A |
| sol_azi | solar azimuth angle from SNDRJ1IML2CCPRET_2 | degree | N/A | N/A | N/A | N/A | N/A |
| sol_zen | solar zenith angle from SNDRJ1IML2CCPRET_2 | degree | N/A | N/A | N/A | N/A | N/A |
| spatial_lbl | spatial direction from SNDRJ1IML2CCPRET_2 | N/A | N/A | N/A | N/A | N/A | N/A |
| spec_hum | specific humidity from SNDRJ1IML2CCPRET_2 | 1 | N/A | N/A | N/A | N/A | N/A |
| spec_hum_err | spec_hum error estimate from SNDRJ1IML2CCPRET_2 | 1 | N/A | N/A | N/A | N/A | N/A |
| spec_hum_qc | spec_hum QC from SNDRJ1IML2CCPRET_2 | N/A | N/A | N/A | N/A | N/A | N/A |
| spec_hum_sat_ice | saturation specific humidity over ice from SNDRJ1IML2CCPRET_2 | 1 | N/A | N/A | N/A | N/A | N/A |
| spec_hum_sat_ice_err | spec_hum_sat_ice error estimate from SNDRJ1IML2CCPRET_2 | 1 | N/A | N/A | N/A | N/A | N/A |
| spec_hum_sat_ice_qc | spec_hum_sat_ice QC from SNDRJ1IML2CCPRET_2 | N/A | N/A | N/A | N/A | N/A | N/A |
| spec_hum_sat_liq | saturation specific humidity over liquid from SNDRJ1IML2CCPRET_2 | 1 | N/A | N/A | N/A | N/A | N/A |
| spec_hum_sat_liq_err | spec_hum_sat_liq error estimate from SNDRJ1IML2CCPRET_2 | 1 | N/A | N/A | N/A | N/A | N/A |
| spec_hum_sat_liq_qc | spec_hum_sat_liq QC from SNDRJ1IML2CCPRET_2 | N/A | N/A | N/A | N/A | N/A | N/A |
| subsat_lat | sub-satellite latitude from SNDRJ1IML2CCPRET_2 | degrees_north | N/A | N/A | N/A | N/A | N/A |
| subsat_lon | sub-satellite longitude from SNDRJ1IML2CCPRET_2 | degrees_east | N/A | N/A | N/A | N/A | N/A |
| sun_glint_dist | sun glint distance from SNDRJ1IML2CCPRET_2 | m | N/A | N/A | N/A | N/A | N/A |
| sun_glint_lat | sun glint latitude from SNDRJ1IML2CCPRET_2 | degrees_north | N/A | N/A | N/A | N/A | N/A |
| sun_glint_lon | sun glint longitude from SNDRJ1IML2CCPRET_2 | degrees_east | N/A | N/A | N/A | N/A | N/A |
| surf_air_temp | near-surface temperature from SNDRJ1IML2CCPRET_2 | Kelvin | N/A | N/A | N/A | N/A | N/A |
| surf_air_temp_err | surf_air_temp error estimate from SNDRJ1IML2CCPRET_2 | Kelvin | N/A | N/A | N/A | N/A | N/A |
| surf_air_temp_qc | surf_air_temp QC from SNDRJ1IML2CCPRET_2 | N/A | N/A | N/A | N/A | N/A | N/A |
| surf_alt | FOR surface altitude from SNDRJ1IML2CCPRET_2 | m | N/A | N/A | N/A | N/A | N/A |
| surf_alt_sdev | FOR surface altitude standard deviation from SNDRJ1IML2CCPRET_2 | m | N/A | N/A | N/A | N/A | N/A |
| surf_freq_mw | MW surface emissivity frequencies from SNDRJ1IML2CCPRET_2 | Hz | N/A | N/A | N/A | N/A | N/A |
| surf_gp_hgt | surface geopotential height from SNDRJ1IML2CCPRET_2 | m | N/A | N/A | N/A | N/A | N/A |
| surf_gp_hgt_err | surf_gp_hgt error estimate from SNDRJ1IML2CCPRET_2 | m | N/A | N/A | N/A | N/A | N/A |
| surf_gp_hgt_qc | surf_gp_hgt QC from SNDRJ1IML2CCPRET_2 | N/A | N/A | N/A | N/A | N/A | N/A |
| surf_ir_emis | IR surface emissivity from SNDRJ1IML2CCPRET_2 | 1 | N/A | N/A | N/A | N/A | N/A |
| surf_ir_emis_err | surf_ir_emis error estimate from SNDRJ1IML2CCPRET_2 | 1 | N/A | N/A | N/A | N/A | N/A |
| surf_ir_emis_qc | surf_ir_emis QC from SNDRJ1IML2CCPRET_2 | N/A | N/A | N/A | N/A | N/A | N/A |
| surf_ir_refl | IR surface reflectivity from SNDRJ1IML2CCPRET_2 | 1 | N/A | N/A | N/A | N/A | N/A |
| surf_ir_refl_qc | IR surface reflectivity QC from SNDRJ1IML2CCPRET_2 | N/A | N/A | N/A | N/A | N/A | N/A |
| surf_ir_wnum | surface emissivity frequencies from SNDRJ1IML2CCPRET_2 | cm-1 | N/A | N/A | N/A | N/A | N/A |
| surf_ir_wnum_cnt | number of emissivities from SNDRJ1IML2CCPRET_2 | 1 | N/A | N/A | N/A | N/A | N/A |
| surf_mw_emis | MW surface emissivity from SNDRJ1IML2CCPRET_2 | 1 | N/A | N/A | N/A | N/A | N/A |
| surf_mw_emis_err | surf_mw_emis error estimate from SNDRJ1IML2CCPRET_2 | 1 | N/A | N/A | N/A | N/A | N/A |
| surf_mw_emis_qc | surf_mw_emis QC from SNDRJ1IML2CCPRET_2 | N/A | N/A | N/A | N/A | N/A | N/A |
| surf_rel_hum | surface relative humidity from SNDRJ1IML2CCPRET_2 | 1 | N/A | N/A | N/A | N/A | N/A |
| surf_rel_hum_err | surf_rel_hum error estimate from SNDRJ1IML2CCPRET_2 | 1 | N/A | N/A | N/A | N/A | N/A |
| surf_rel_hum_qc | surf_rel_hum QC from SNDRJ1IML2CCPRET_2 | N/A | N/A | N/A | N/A | N/A | N/A |
| surf_spec_hum | surface specific humidity from SNDRJ1IML2CCPRET_2 | 1 | N/A | N/A | N/A | N/A | N/A |
| surf_spec_hum_err | surf_spec_hum error estimate from SNDRJ1IML2CCPRET_2 | 1 | N/A | N/A | N/A | N/A | N/A |
| surf_spec_hum_qc | surf_spec_hum QC from SNDRJ1IML2CCPRET_2 | N/A | N/A | N/A | N/A | N/A | N/A |
| surf_spec_hum_sat_ice | surface saturation specific humidity over ice from SNDRJ1IML2CCPRET_2 | 1 | N/A | N/A | N/A | N/A | N/A |
| surf_spec_hum_sat_ice_err | surf_spec_hum_sat_ice error estimate from SNDRJ1IML2CCPRET_2 | 1 | N/A | N/A | N/A | N/A | N/A |
| surf_spec_hum_sat_ice_qc | surf_spec_hum_sat_ice QC from SNDRJ1IML2CCPRET_2 | N/A | N/A | N/A | N/A | N/A | N/A |
| surf_spec_hum_sat_liq | surface saturation specific humidity over liquid from SNDRJ1IML2CCPRET_2 | 1 | N/A | N/A | N/A | N/A | N/A |
| surf_spec_hum_sat_liq_err | surf_spec_hum_sat_liq error estimate from SNDRJ1IML2CCPRET_2 | 1 | N/A | N/A | N/A | N/A | N/A |