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
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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 |
|---|---|---|---|---|---|---|---|
| fov_obs_id | earth view observation id for FOV from SNDRJ1IML2CCPRET_2 | N/A | N/A | N/A | N/A | N/A | N/A |
| fov_surf_alt | FOV surface altitude from SNDRJ1IML2CCPRET_2 | m | N/A | N/A | N/A | N/A | N/A |
| fov_surf_alt_sdev | FOV surface altitude standard deviation from SNDRJ1IML2CCPRET_2 | m | N/A | N/A | N/A | N/A | N/A |
| gp_hgt | geopotential height from SNDRJ1IML2CCPRET_2 | m | N/A | N/A | N/A | N/A | N/A |
| gp_hgt_err | gp_hgt error estimate from SNDRJ1IML2CCPRET_2 | m | N/A | N/A | N/A | N/A | N/A |
| gp_hgt_qc | gp_hgt QC from SNDRJ1IML2CCPRET_2 | N/A | N/A | N/A | N/A | N/A | N/A |
| h2o_liq_mol_lay | cloud liquid water profile from SNDRJ1IML2CCPRET_2 | 1 | N/A | N/A | N/A | N/A | N/A |
| h2o_liq_mol_lay_err | h2o_liq_mol_lay error estimate from SNDRJ1IML2CCPRET_2 | 1 | N/A | N/A | N/A | N/A | N/A |
| h2o_liq_mol_lay_qc | h2o_liq_mol_lay QC from SNDRJ1IML2CCPRET_2 | N/A | N/A | N/A | N/A | N/A | N/A |
| h2o_liq_tot | total cloud liquid water from SNDRJ1IML2CCPRET_2 | kg m-2 | N/A | N/A | N/A | N/A | N/A |
| h2o_liq_tot_err | h2o_liq_tot error estimate from SNDRJ1IML2CCPRET_2 | kg m-2 | N/A | N/A | N/A | N/A | N/A |
| h2o_liq_tot_qc | h2o_liq_tot QC from SNDRJ1IML2CCPRET_2 | N/A | N/A | N/A | N/A | N/A | N/A |
| h2o_vap_dof | water vapor profile DOFs from SNDRJ1IML2CCPRET_2 | 1 | N/A | N/A | N/A | N/A | N/A |
| h2o_vap_tot | total water vapor from SNDRJ1IML2CCPRET_2 | kg / m2 | N/A | N/A | N/A | N/A | N/A |
| h2o_vap_tot_err | h2o_vap_tot error estimate from SNDRJ1IML2CCPRET_2 | kg / m2 | N/A | N/A | N/A | N/A | N/A |
| h2o_vap_tot_qc | h2o_vap_tot QC from SNDRJ1IML2CCPRET_2 | N/A | N/A | N/A | N/A | N/A | N/A |
| hno3_dof | Nitric Acid profile DOFs from SNDRJ1IML2CCPRET_2 | 1 | N/A | N/A | N/A | N/A | N/A |
| ir_precip_est_24hr | IR precipitation estimate from SNDRJ1IML2CCPRET_2 | m | N/A | N/A | N/A | N/A | N/A |
| ir_precip_est_24hr_err | ir_precip_est_24hr error estimate from SNDRJ1IML2CCPRET_2 | m | N/A | N/A | N/A | N/A | N/A |
| ir_precip_est_24hr_qc | ir_precip_est_24hr QC from SNDRJ1IML2CCPRET_2 | N/A | N/A | N/A | N/A | N/A | N/A |
| land_frac | FOR land fraction from SNDRJ1IML2CCPRET_2 | 1 | N/A | N/A | N/A | N/A | N/A |
| lat | latitude of FOR center | degrees_north | float32 | 9.9692099683869E+36 | N/A | N/A | N/A |
| lat_bnds | FOV boundary latitudes from SNDRJ1IML2CCPRET_2 | degrees_north | N/A | N/A | N/A | N/A | N/A |
| lat_geoid | FOR latitude from SNDRJ1IML2CCPRET_2 | degrees_north | N/A | N/A | N/A | N/A | N/A |
| local_solar_time | local apparent solar time from SNDRJ1IML2CCPRET_2 | hours | N/A | N/A | N/A | N/A | N/A |
| lon | longitude of FOR center | degrees_east | float32 | 9.9692099683869E+36 | N/A | N/A | N/A |
| lon_bnds | FOV boundary longitudes from SNDRJ1IML2CCPRET_2 | degrees_east | N/A | N/A | N/A | N/A | N/A |
| lon_geoid | FOR longitude from SNDRJ1IML2CCPRET_2 | degrees_east | N/A | N/A | N/A | N/A | N/A |
| mean_anom_wrt_equat | mean anomaly with respect to the equator from SNDRJ1IML2CCPRET_2 | degree | N/A | N/A | N/A | N/A | N/A |
| mol_lay/ch4_mol_lay | Methane profile from SNDRJ1IML2CCPRET_2 | molecules / m2 | N/A | N/A | N/A | N/A | N/A |
| mol_lay/ch4_mol_lay_err | ch4_mol_lay error estimate from SNDRJ1IML2CCPRET_2 | molecules / m2 | N/A | N/A | N/A | N/A | N/A |
| mol_lay/ch4_mol_lay_qc | Methane profile QC from SNDRJ1IML2CCPRET_2 | N/A | N/A | N/A | N/A | N/A | N/A |
| mol_lay/co_mol_lay | CO profile from SNDRJ1IML2CCPRET_2 | molecules / m2 | N/A | N/A | N/A | N/A | N/A |
| mol_lay/co_mol_lay_err | co_vap_mol_lay error estimate from SNDRJ1IML2CCPRET_2 | molecules / m2 | N/A | N/A | N/A | N/A | N/A |
| mol_lay/co_mol_lay_qc | CO profile QC from SNDRJ1IML2CCPRET_2 | N/A | N/A | N/A | N/A | N/A | N/A |
| mol_lay/h2o_vap_mol_lay | water vapor profile from SNDRJ1IML2CCPRET_2 | molecules / m2 | N/A | N/A | N/A | N/A | N/A |
| mol_lay/h2o_vap_mol_lay_err | h2o_vap_mol_lay error estimate from SNDRJ1IML2CCPRET_2 | molecules / m2 | N/A | N/A | N/A | N/A | N/A |
| mol_lay/h2o_vap_mol_lay_qc | h2o_vap_mol_lay QC from SNDRJ1IML2CCPRET_2 | N/A | N/A | N/A | N/A | N/A | N/A |
| mol_lay/hno3_mol_lay | nitric acid profile from SNDRJ1IML2CCPRET_2 | molecules / m2 | N/A | N/A | N/A | N/A | N/A |
| mol_lay/hno3_mol_lay_err | hno3_mol_lay error estimate from SNDRJ1IML2CCPRET_2 | molecules / m2 | N/A | N/A | N/A | N/A | N/A |
| mol_lay/hno3_mol_lay_qc | nitric acid profile QC from SNDRJ1IML2CCPRET_2 | N/A | N/A | N/A | N/A | N/A | N/A |
| mol_lay/n2o_mol_lay | nitrous oxide profile from SNDRJ1IML2CCPRET_2 | molecules / m2 | N/A | N/A | N/A | N/A | N/A |
| mol_lay/n2o_mol_lay_err | n2o_mol_lay error estimate from SNDRJ1IML2CCPRET_2 | molecules / m2 | N/A | N/A | N/A | N/A | N/A |
| mol_lay/n2o_mol_lay_qc | nitrous oxide profile QC from SNDRJ1IML2CCPRET_2 | N/A | N/A | N/A | N/A | N/A | N/A |
| mol_lay/o3_mol_lay | ozone profile from SNDRJ1IML2CCPRET_2 | molecules / m2 | N/A | N/A | N/A | N/A | N/A |
| mol_lay/o3_mol_lay_err | o3_mol_lay error estimate from SNDRJ1IML2CCPRET_2 | molecules / m2 | N/A | N/A | N/A | N/A | N/A |
| mol_lay/o3_mol_lay_qc | ozone profile QC from SNDRJ1IML2CCPRET_2 | N/A | N/A | N/A | N/A | N/A | N/A |
| mol_lay/so2_mol_lay | sulfur dioxide profile from SNDRJ1IML2CCPRET_2 | molecules / m2 | N/A | N/A | N/A | N/A | N/A |
| mol_lay/so2_mol_lay_err | so2_mol_lay error estimate from SNDRJ1IML2CCPRET_2 | molecules / m2 | N/A | N/A | N/A | N/A | N/A |
| mol_lay/so2_mol_lay_qc | sulfur dioxide profile QC from SNDRJ1IML2CCPRET_2 | N/A | N/A | N/A | N/A | N/A | N/A |