N: 38 S: -38 E: 180 W: -180
Description
This TRMM Visible and Infrared Scanner (VIRS) Level 1B Calibrated Radiance Product (1B01) contains calibrated radiances and auxiliary geolocation information from the five channels of the VIRS instrument, for each pixel of each scan. The data are stored in the Hierarchical Data Format (HDF), which includes both core and product specific metadata applicable to the VIRS measurements. A file contains a single orbit of data with a file size of about 95 MB. The EOSDIS "swath" structure is used to accommodate the actual geophysical data arrays. There are 16 files of VIRS 1B01 data produced per day.
For channels 1 and 2, Level 1B radiances are derived from the Level 1A (1A01) sensor counts by computing calibration parameters (gain and offset) derived from the counts registered during space and solar and/or lunar views. New calibration parameters are produced every one to four weeks. Channels 3, 4, and 5 are calibrated using the internal blackbody and the space view. These calibration parameters, together with a quadratic term determined pre-launch, are used to generate a counts vs. radiance curve for each band, which is then used to convert the earth-view pixel counts to spectral radiances.
Geolocation and channel data are written out for each pixel along the scan, whereas the time stamp, scan status (containing scan quality information), navigation, calibration coefficients, and solar/satellite geometry are specified on a per-scan basis. There are in general 18026 scans along the orbit pre-boost and 18223 post-boost, with each scan consisting of 261 pixels. The scan width is about 720 km pre-boost and 833 km post-boost.
Changes in horizontal resolution resulting from the TRMM boost that occurred on 24 August 2001:
Pre-Boost (before 7 August 2001): Temporal Resolution: 91.5 min/orbit ~ 16 orbits/day; Swath Width: 720 km; Horizontal Resolution: 2.2 km
Post-Boost (after 24 August 2001): Temporal Resolution: 92.5 min/orbit ~ 16 orbits/day; Swath Width: 833 km; Horizontal Resolution: 2.4 km
Product Summary
Citation
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Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Extension of a multisensor satellite radiance-based evaluation for cloud system resolving models | ROH, Woosub, SATOH, Masaki | Infrared Imagery, Infrared Imagery, Infrared Radiance, Sensor Counts, THERMAL INFRARED, THERMAL INFRARED, Attitude Characteristics, VIEWING GEOMETRY, SENSOR COUNTS, VISIBLE IMAGERY, Visible Radiance | |
| Precipitation characteristics over the steep slope of the Himalayas in rainy season observed by TRMM PR and VIRS | Fu, Yunfei, Pan, Xiao, Xian, Tao, Liu, Guosheng, Zhong, Lei, Liu, Qi, Li, Rui, Wang, Yu, Ma, Ming | Infrared Imagery, Infrared Imagery, Infrared Radiance, Sensor Counts, THERMAL INFRARED, THERMAL INFRARED, Attitude Characteristics, VIEWING GEOMETRY, SENSOR COUNTS, VISIBLE IMAGERY, Visible Radiance | |
| Improvement of a cloud microphysics scheme for a global nonhydrostatic model using TRMM and a satellite simulator | Roh, Woosub, Satoh, Masaki, Nasuno, Tomoe | Total Surface Precipitation Rate, Infrared Imagery, Infrared Imagery, Infrared Radiance, Sensor Counts, THERMAL INFRARED, THERMAL INFRARED, Attitude Characteristics, VIEWING GEOMETRY, SENSOR COUNTS, VISIBLE IMAGERY, Visible Radiance | |
| On the landocean contrast of tropical convection and microphysics statistics derived from TRMM satellite signals and global storm-resolving models | Matsui, Toshi, Chern, Jiun-Dar, Tao, Wei-Kuo, Lang, Stephen, Satoh, Masaki, Hashino, Tempei, Kubota, Takuji | Rain, Droplet Size, Precipitation Rate, Radar Reflectivity, Infrared Imagery, Infrared Imagery, Infrared Radiance, Sensor Counts, THERMAL INFRARED, THERMAL INFRARED, Attitude Characteristics, VIEWING GEOMETRY, SENSOR COUNTS, VISIBLE IMAGERY, Visible Radiance | |
| Comparison of radiative signals between precipitating and non-precipitating clouds in frontal and typhoon domains over East Asia | Liu, Qi, Fu, Yunfei | Infrared Imagery, Infrared Imagery, Infrared Radiance, Sensor Counts, THERMAL INFRARED, THERMAL INFRARED, Attitude Characteristics, VIEWING GEOMETRY, SENSOR COUNTS, VISIBLE IMAGERY, Visible Radiance | |
| A 9-season TRMM observation of the austral summer MJO and low-frequency equatorial waves | MASUNAGA, Hirohiko | Rain, Infrared Imagery, Infrared Imagery, Infrared Radiance, Sensor Counts, THERMAL INFRARED, THERMAL INFRARED, Attitude Characteristics, VIEWING GEOMETRY, SENSOR COUNTS, VISIBLE IMAGERY, Visible Radiance | |
| Evaluation of long-term cloud-resolving model simulations using satellite radiance observations and multifrequency satellite simulators | Matsui, Toshihisa, Zeng, Xiping, Tao, Wei-Kuo, Masunaga, Hirohiko, Olson, William S., Lang, Stephen | Droplet Size, Precipitation Rate, Radar Reflectivity, Infrared Imagery, Infrared Imagery, Infrared Radiance, Sensor Counts, THERMAL INFRARED, THERMAL INFRARED, Attitude Characteristics, VIEWING GEOMETRY, SENSOR COUNTS, VISIBLE IMAGERY, Visible Radiance | |
| The tropical atmospheric energy budget from the TRMM perspective. Part II: Evaluating GCM representations of the sensitivity of regional energy and water ... | LEcuyer, Tristan S., Stephens, Graeme L. | Infrared Imagery, Infrared Imagery, Infrared Radiance, Sensor Counts, THERMAL INFRARED, THERMAL INFRARED, Attitude Characteristics, VIEWING GEOMETRY, SENSOR COUNTS, VISIBLE IMAGERY, Visible Radiance, Water Vapor Profiles, Convective Surface Precipitation Rate, Cloud Liquid Water/Ice, Cloud Precipitable Water, Precipitation Rate, Rain, Atmospheric Heating |