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 |
|---|---|---|---|---|---|---|---|
| mw/mw_air_temp | MW-only air temperature profile from SNDRJ1IML2CCPRET_2 | Kelvin | N/A | N/A | N/A | N/A | N/A |
| mw/mw_air_temp_err | mw_air_temp error estimate from SNDRJ1IML2CCPRET_2 | Kelvin | N/A | N/A | N/A | N/A | N/A |
| mw/mw_air_temp_qc | mw_air_temp QC from SNDRJ1IML2CCPRET_2 | N/A | N/A | N/A | N/A | N/A | N/A |
| mw/mw_h2o_vap_mol_lay | MW-only water vapor profile from SNDRJ1IML2CCPRET_2 | molecules / m2 | N/A | N/A | N/A | N/A | N/A |
| mw/mw_h2o_vap_mol_lay_qc | mw_h2o_vap_mol_lay QC from SNDRJ1IML2CCPRET_2 | N/A | N/A | N/A | N/A | N/A | N/A |
| mw/mw_h2o_vap_tot | MW-only total water vapor from SNDRJ1IML2CCPRET_2 | kg / m2 | N/A | N/A | N/A | N/A | N/A |
| mw/mw_h2o_vap_tot_err | mw_h2o_vap_tot error estimate from SNDRJ1IML2CCPRET_2 | kg / m2 | N/A | N/A | N/A | N/A | N/A |
| mw/mw_h2o_vap_tot_qc | mw_h2o_vap_tot QC from SNDRJ1IML2CCPRET_2 | N/A | N/A | N/A | N/A | N/A | N/A |
| mw/mw_spec_hum | MW-Only specific humidity from SNDRJ1IML2CCPRET_2 | 1 | N/A | N/A | N/A | N/A | N/A |
| mw/mw_spec_hum_err | mw_spec_hum error estimate from SNDRJ1IML2CCPRET_2 | 1 | N/A | N/A | N/A | N/A | N/A |
| mw/mw_spec_hum_qc | mw_spec_hum QC from SNDRJ1IML2CCPRET_2 | N/A | N/A | N/A | N/A | N/A | N/A |
| mw/mw_surf_air_temp | MW-only near-surface temperature from SNDRJ1IML2CCPRET_2 | Kelvin | N/A | N/A | N/A | N/A | N/A |
| mw/mw_surf_air_temp_err | mw_surf_air_temp error estimate from SNDRJ1IML2CCPRET_2 | Kelvin | N/A | N/A | N/A | N/A | N/A |
| mw/mw_surf_air_temp_qc | mw_surf_air_temp QC from SNDRJ1IML2CCPRET_2 | N/A | N/A | N/A | N/A | N/A | N/A |
| mw/mw_surf_mw_emis | MW-only surface emissivity from SNDRJ1IML2CCPRET_2 | 1 | N/A | N/A | N/A | N/A | N/A |
| mw/mw_surf_mw_emis_err | mw_surf_mw_emis error estimate from SNDRJ1IML2CCPRET_2 | 1 | N/A | N/A | N/A | N/A | N/A |
| mw/mw_surf_mw_emis_qc | mw_surf_mw_emis QC from SNDRJ1IML2CCPRET_2 | N/A | N/A | N/A | N/A | N/A | N/A |
| mw/mw_surf_spec_hum | MW-Only surface specific humidity from SNDRJ1IML2CCPRET_2 | 1 | N/A | N/A | N/A | N/A | N/A |
| mw/mw_surf_spec_hum_err | mw_surf_spec_hum error estimate from SNDRJ1IML2CCPRET_2 | 1 | N/A | N/A | N/A | N/A | N/A |
| mw/mw_surf_spec_hum_qc | mw_surf_spec_hum QC from SNDRJ1IML2CCPRET_2 | N/A | N/A | N/A | N/A | N/A | N/A |
| mw/mw_surf_temp | MW-only surface skin temperature from SNDRJ1IML2CCPRET_2 | Kelvin | N/A | N/A | N/A | N/A | N/A |
| mw/mw_surf_temp_err | mw_surf_temp error estimate from SNDRJ1IML2CCPRET_2 | Kelvin | N/A | N/A | N/A | N/A | N/A |
| mw/mw_surf_temp_qc | mw_surf_temp QC from SNDRJ1IML2CCPRET_2 | N/A | N/A | N/A | N/A | N/A | N/A |
| mw_cld_phase | MW cloud ice/water from SNDRJ1IML2CCPRET_2 | N/A | N/A | N/A | N/A | N/A | N/A |
| mw_surf_class | MW surface class from SNDRJ1IML2CCPRET_2 | N/A | N/A | N/A | N/A | N/A | N/A |
| n2o_dof | Nitrous Oxide profile DOFs from SNDRJ1IML2CCPRET_2 | 1 | N/A | N/A | N/A | N/A | N/A |
| num_cld | Number of cloud layers from SNDRJ1IML2CCPRET_2 | 1 | N/A | N/A | N/A | N/A | N/A |
| num_cld_qc | num_cld QC from SNDRJ1IML2CCPRET_2 | N/A | N/A | N/A | N/A | N/A | N/A |
| o3_dof | ozone profile DOFs from SNDRJ1IML2CCPRET_2 | 1 | N/A | N/A | N/A | N/A | N/A |
| o3_mmr | ozone MMR profile from SNDRJ1IML2CCPRET_2 | 1 | N/A | N/A | N/A | N/A | N/A |
| o3_mmr_err | o3_mmr error estimate from SNDRJ1IML2CCPRET_2 | 1 | N/A | N/A | N/A | N/A | N/A |
| o3_mmr_qc | o3_mmr QC from SNDRJ1IML2CCPRET_2 | N/A | N/A | N/A | N/A | N/A | N/A |
| o3_tot | total ozone from SNDRJ1IML2CCPRET_2 | kg m-2 | N/A | N/A | N/A | N/A | N/A |
| o3_tot_err | o3_tot error estimate from SNDRJ1IML2CCPRET_2 | kg m-2 | N/A | N/A | N/A | N/A | N/A |
| o3_tot_qc | o3_tot QC from SNDRJ1IML2CCPRET_2 | N/A | N/A | N/A | N/A | N/A | N/A |
| obs_id | earth view observation id for FOR from SNDRJ1IML2CCPRET_2 | N/A | N/A | N/A | N/A | N/A | N/A |
| obs_time_tai93 | earth view observation midtime for each FOV | seconds since 1993-01-01 00:00 | float64 | 9.9692099683869E+36 | N/A | N/A | N/A |
| obs_time_utc | UTC earth view observation time as an array of integers: year, month, day, hour, minute, second, millisec, microsec | N/A | uint16 | 65535 | N/A | N/A | N/A |
| rel_hum | relative humidity profile from SNDRJ1IML2CCPRET_2 | 1 | N/A | N/A | N/A | N/A | N/A |
| rel_hum_err | rel_hum error estimate from SNDRJ1IML2CCPRET_2 | 1 | N/A | N/A | N/A | N/A | N/A |
| rel_hum_qc | rel_hum QC from SNDRJ1IML2CCPRET_2 | N/A | N/A | N/A | N/A | N/A | N/A |
| sat_alt | satellite altitude from SNDRJ1IML2CCPRET_2 | m | N/A | N/A | N/A | N/A | N/A |
| sat_att | satellite attitude from SNDRJ1IML2CCPRET_2 | degree | N/A | N/A | N/A | N/A | N/A |
| sat_azi | satellite azimuth angle from SNDRJ1IML2CCPRET_2 | degree | N/A | N/A | N/A | N/A | N/A |
| sat_pos | satellite position from SNDRJ1IML2CCPRET_2 | m | N/A | N/A | N/A | N/A | N/A |
| sat_range | satellite range from SNDRJ1IML2CCPRET_2 | m | N/A | N/A | N/A | N/A | N/A |
| sat_sol_azi | satellite solar azimuth from SNDRJ1IML2CCPRET_2 | degree | N/A | N/A | N/A | N/A | N/A |
| sat_sol_zen | satellite solar zenith from SNDRJ1IML2CCPRET_2 | degree | N/A | N/A | N/A | N/A | N/A |
| sat_vel | satellite velocity from SNDRJ1IML2CCPRET_2 | m s-1 | N/A | N/A | N/A | N/A | N/A |
| sat_zen | satellite zenith angle from SNDRJ1IML2CCPRET_2 | degree | N/A | N/A | N/A | N/A | N/A |