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103 results for “TRMM”
Processed ERA5, IMERG and TRMM PR/GPM DPR precipitation data for Nicolas & Boos - "Understanding the spatiotemporal variability of tropical orographic rainfall using convective plume buoyancy."
<p>The dataset contains processed data from large datasets that are freely available online. <br>All data cover the period 01/2001 - 12/2020. The file names describe the months & region that each file contains. Variable codes for ERA5 data (all files starting in e5.) are:</p><p> - 228_246_100u : 100m u-wind<br> - 228_247_100v : 100m v-wind<br> - qL : 900-600hPa averaged specific humidity<br> - thetaeb : surface - 900hPa averaged equivalent potential temperature<br> - thetaeL : 900-600hPa averaged equivalent potential temperature<br> - thetaeLstar : 900-600hPa averaged saturation equivalent potential temperature<br> - tL : 900-600hPa averaged temperature<br> - uBL : surface - 900hPa averaged u wind<br> - vBL : surface - 900hPa averaged v wind<br> - 128_034_sstk : sea surface temperature<br> - 162_071_viwve : eastward component of vertically integrated water vapor transport<br> - 162_072_viwvn : northward component of vertically integrated water vapor transport</p><p> </p>
A new merged dataset for analyzing clouds, precipitation and atmospheric parameters based on ERA5 reanalysis data and the measurements of TRMM PR and VIRS
<p>This new merged gridded dataset (M-1B01-2A25-GD) contains precipitation, clouds and atmospheric parameters with 0.25° spatial resolution.</p> <p>It is produced by merging TRMM PR and VIRS measurements with the ERA5 reanalysis dataset at the same spatiotemporal resolution between 40° S and 40° N. The near-surface rain rate, profiles of rain rate and precipitation reflectivity factor, visible and infrared signals and atmospheric parameters (temperature, pressure, geopotential height, specific humidity, divergence, vertical velocity and so on) can be obtained in the dataset. The statistical results indicate that the merging and gridding will not dramatically distort the original data and the new dataset can be used to study the characteristics and distribution of the precipitation and clouds systems.</p>
South Pacific precipitation dataset: PACRAIN, TRMM, ERA5 and calibrated precipitation series.
<p>This dataset contains a set of stations located in the South Pacific region, obtained from the PACRAIN (Pacific Rainfall Database). Similarly, the TRMM (Tropical Rainfall Measuring Mission) satellite precipitation series and the ERA5 reanalysis precipitation series have been extracted for the aforementioned stations. For the stations corresponding to IDs NZ75400, NZ82400, NZ84317, NZ99701, SP00646, US14000 and US14690, the following <strong>daily</strong> variables are included:</p> <p> </p> <ul> <li>TRMM raw</li> <li>ERA5 raw</li> <li>PACRAIN </li> <li>Weather type associated</li> <li>TRMM calibrated (scaling) </li> <li>TRMM calibrated (empirical quantile mapping) </li> <li>TRMM calibrated (scaling conditioned) </li> <li>TRMM calibrated (empirical quantile mapping conditioned) </li> </ul> <p>where the last four are a consequence of the application of 4 different calibration methods. A summary of the stations is shown in the following table:</p> <table> <caption> </caption> <tbody> <tr> <td>Station Id</td> <td>Station Name</td> <td>Longitude</td> <td>Latitude</td> <td>Start</td> <td>End</td> <td>% Missing Data</td> <td>Altitude</td> </tr> <tr> <td>NZ75400</td> <td>Kolopelu (Wallis and Futuna)</td> <td>-178.12</td> <td>-14.32</td> <td>1998-01-01</td> <td>2012-01-01</td> <td>9.74</td> <td>36</td> </tr> <tr> <td>NZ82400</td> <td>Alofi (Niue)</td> <td>-163.93</td> <td>-19.07</td> <td>1998-01-01*</td> <td>2010-09-02</td> <td>2.68</td> <td>59</td> </tr> <tr> <td>NZ84317</td> <td>Rarotonga (Cook Islands)</td> <td>-159.8</td> <td>-21.2</td> <td>1999-09-28</td> <td>2012-01-12</td> <td>11.36</td> <td>4</td> </tr> <tr> <td>NZ99701</td> <td>Raoul Island (New Zealand)</td> <td>-177.93</td> <td>-29.23</td> <td>1998-01-01*</td> <td>2012-01-01</td> <td>0.72</td> <td>49</td> </tr> <tr> <td>SP00646</td> <td>Port Vila (Vanuatu)</td> <td>168.3</td> <td>-17.72</td> <td>2000-01-26</td> <td>2013-06-01</td> <td>18.13</td> <td>24</td> </tr> <tr> <td>US14000</td> <td>Aoloau (American Samoa)</td> <td>-170.77</td> <td>-14.3</td> <td>1998-01-01*</td> <td>2019-12-31*</td> <td>21.72</td> <td>408</td> </tr> <tr> <td>US14690</td> <td>Nu'uuli (American Samoa)</td> <td>-170.70</td> <td>-14.32</td> <td>1998-01-01*</td> <td>2019-12-31*</td> <td>0.037</td> <td>3</td> </tr> </tbody> </table> <p> </p>
Empirical orthogonal functions of daily rainfall measurements from TRMM
<p>(see README.md)</p>
A new dataset of rain cell generated from observations of the Tropical Rainfall Measuring Mission (TRMM) precipitation radar and visible and infrared scanner and microwave imager
<p>This new dataset (M.TRMM-1B01-1B11-2A25-PMD-Rain) contains orbit-level data with 5 km spatial resolution and 0.25 km vertical resolution. It is produced by merging TRMM PR, VIRS and TMI measurements at PR pixel resolution combined with rain cell identification. The near-surface rain rate, profiles of rain rate and precipitation reflectivity factor, visible and infrared signals and microwave signals can be obtained in the dataset. The dataset provides new important data for in-depth research on the structural characteristics of rain cells and supports the study of precipitation mechanisms.</p>
TRMM-based gridded climatology required for computing SEEPS
<p>Gridded climatology required for computing the Stable Equitable Error in Probability Space (SEEPS) for use in METplus</p> <p>https://github.com/dtcenter/MET</p> <p>https://doi.org/10.1175/MWR-D-20-0347.1</p>
CERES Single Scanner Footprint (SSF) TOA/Surface Fluxes, Clouds and Aerosols TRMM-PFM Edition2B
CER_SSF_TRMM-PFM-VIRS_Edition2B is the Clouds and the Earth's Radiant Energy System (CERES) Scanner Footprint (SSF) Top-of-Atmosphere (TOA)/Surface Fluxes, Clouds, and Aerosols Tropical Rainfall Measuring Mission (TRMM)-protoflight model (PFM) Edition2B data product. Data was collected using the CERES PFM instrument on both the TRMM platform. Data collection for this product is complete.CER_SSF_TRMM-PFM-VIRS_Edition2B contains one hour of instantaneous CERES data for a single scanner instrument. The SSF combines instantaneous CERES data with scene information from a higher-resolution imager, such as Visible/Infrared Scanner (VIRS) on TRMM, MODIS on Terra and Aqua, and VIIRS on Suomi-NPP. Scene identification and cloud properties are defined at the higher imager resolution, and these data are averaged over the larger CERES footprint. For each CERES footprint, the SSF contains the number of cloud layers and, for each layer, the cloud amount, height, temperature, pressure, optical depth, emissivity, ice and liquid water path, and water particle size. The SSF also contains the CERES-filtered radiances for the total, shortwave (SW), and window (WN) channels and the unfiltered SW, longwave (LW), and WN radiances. The SW, LW, and WN radiances at spacecraft altitude are converted to Top-of-the-Atmosphere (TOA) fluxes based on the imager-defined scene. These TOA fluxes are used to estimate surface fluxes. On the SSF, only footprints with adequate imager coverage are included, which is much less than the full set of footprints on the CERES ES-8 product.CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, PFM, was launched on November 27, 1997, as part of the TRMM. Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.
GPM PR on TRMM Gridded Orbital Spectral Latent Heating Profiles L3 1.5 hours 0.5x0.5 degree V07 (GPM_3GSLH_TRMM) at GES DISC
This is the new (GPM-formated) TRMM product. It replaces the old TRMM_3G25Version 07 is the current version of the data set. Older versions will no longer be available and have been superseded by Version 07.Estimating vertical profiles of latent heating released by precipitating cloud systems is one of the key objectives of TRMM, together with accurately measuring the horizontal distribution of tropical rainfall.The method uses TRMM PR information [precipitation-top height (PTH), precipitation rates at the surface and melting level, and rain type] to select heating profiles from lookup tables. Heating-profile lookup tables for the three rain types—convective, shallow stratiform, and anvil rain (deep stratiform with a melting level)—were derived from numerical simulations of tropical cloud systems from the Tropical Ocean and Global Atmosphere Coupled Ocean–Atmosphere Response Experiment (TOGA COARE) utilizing a cloud-resolving model (CRM). The SLH algorithm is severely limited by the inherent sensitivity of the TRMM PR. For latent heating, the quantity required is actually cloud top, but the PR can detect only precipitation-sized particles.Because observed information on precipitation depth is used in addition to precipitation type and intensity, differences between shallow and deep convection are more distinct in the SLH algorithm in comparison with the CSH algorithm.The Gridded Orbital Spectral Latent Heating is actually one orbit gridded onto a global map with 0.5 degree x 0.5 degree grid cell size. These latent heating profiles from the TRMM Precipitation Radar (PR) rain. The granule temporal size is one orbit.
GPM Ground Validation TRMM 2A25 NRT Precipitation Radar IPHEx V7
The GPM Ground Validation TRMM 2A25 NRT Precipitation Radar IPHEx data are estimates of instantaneous three-dimensional distribution of rain from the Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar (PR). The TRMM 2A25 (NRT) orbital precipitation radar data from NASA GES DISC have been extracted for the southeast US region for May 1 to June 16, 2014 during the GPM Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign. This data product contains the average rainfall rate between two predefined altitudes derived from each radar beam position. Other output data include parameters of Z-R relationships (R=aZb), integrated rain rate of each beam, range bin numbers of rain layer boundaries, and many intermediate parameters. Data files are available in HDF-4 format, while corresponding browse images are also available in PNG format.
CERES ERBE-like Monthly Regional Averages TRMM PFM Edition2
CER_ES9_TRMM-PFM_Edition2 is the Clouds and the Earth's Radiant Energy System (CERES) Earth Radiation Budget Experiment (ERBE)-like Monthly Regional Averages Tropical Rainfall Measuring Mission (TRMM) proto flight model (PFM) Edition 2 data product. Data for this product was collected by the CERES-PFM on the Tropical Rainfall Measuring Mission (TRMM) platform. Data collection for this product is complete. CER_ES9_TRMM-PFM_Edition2 data are CERES instrument Top-of-the-Atmosphere (TOA) fluxes that used algorithms identical to those used by ERBE, regional averages of instantaneous footprint TOA fluxes only for the hours of satellite overpass (from ES-8 Level 2 product). The ERBE-like Monthly Regional Averages (ES-9) product contains a month of space and time-averaged CERES data for a single scanner instrument. The ES-9 is also produced for combinations of scanner instruments. All instantaneous short-wave and long-wave (LW) fluxes at the TOA from the CERES ES-8 product for a month are sorted by 2.5-degree spatial regions, by day number, and by the local hour of observation. The mean of the instantaneous fluxes for a given region-day-hour bin is determined and recorded on the ES-9, along with other flux statistics and scene information. For each region, the daily average flux is estimated from an algorithm that uses the available hourly data, scene identification data, and diurnal models. This algorithm is like the algorithm used for the ERBE. The ES-9 also contains hourly average fluxes for the month and an overall monthly average for each region. These average fluxes are given for both clear-sky and total-sky scenes. CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions are a follow-on to the successful ERBE mission. The first CERES instrument, PFM, was launched on November 27, 1997, as part of the TRMM. Two CERES instruments (FM1 and FM2) were launched into polar orbit onboard the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched onboard Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched onboard the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched onboard the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.
CERES ERBE-like Instantaneous TOA Estimates TRMM PFM Edition2
CER_ES8_TRMM-PFM_Edition2 is the Clouds and the Earth's Radiant Energy System (CERES) Earth Radiation Budget Experiment (ERBE)-like Instantaneous Top of Atmosphere (TOA) Estimates Tropical Rainfall Measuring Mission (TRMM) proto flight model (PFM) Edition 2 data product. The CERES-PFM instrument collected data for this product on the TRMM platform. Data collection for this product is complete.CERES ES-8 data product contains a 24-hour, single-satellite, instantaneous view of scanner fluxes at the top-of-atmosphere (TOA) reduced from spacecraft altitude unfiltered radiances using ERBE scanner Inversion algorithms and the ERBE shortwave (SW) and long-wave (LW) Angular Distribution Models (ADMs). The ES-8 data include the total (TOT), SW, LW, and window (WN) channel radiometric data; SW, LW, and WN unfiltered radiance values; and the ERBE scene identification for each measurement. These data are organized according to the CERES 3.3-second scan into 6.6-second records. As long as there was one valid scanner measurement within a record, the ES-8 record was generated. CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions are a follow-on to the successful ERBE mission. The first CERES instrument, PFM, was launched on November 27, 1997, as part of the TRMM. Two CERES instruments (FM1 and FM2) were launched into polar orbit onboard the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched onboard Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched onboard the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched onboard the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.
GHRSST Level 3U Global Subskin Sea Surface Temperature from TMI onboard TRMM satellite
The Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) is a well calibrated passive microwave radiometer, similar to the Special Sensor Microwave Imager (SSM/I), that contains lower frequency channels required for sea surface temperature (SST) retrievals. The TRMM is part of the NASA's mission to planet Earth, and is a joint venture between NASA and the Japan Aerospace Exploration Agency (JAXA) to measure precipitation, water vapor, sea surface temperature (SST) and surface wind in the global tropical regions and was launched in 27 November 1997 from the Tanegashima Space Center in Tanegashima, Japan. The TRMM satellite travels west to east in a 402 km altitude semi-equatorial processing orbit that results in day-to-day changes in the observation time of any given earth location between 38S and 38N. Remote Sensing Systems (REMSS) has produced a Version-7.1a TMI SST dataset for the Group for High Resolution Sea Surface Temperature (GHRSST) by applying an algorithm to the 10.7 GHz channel through a removal of surface roughness effects. In contrast to infrared SST observations, microwave retrievals can be measured through clouds, which are nearly transparent at 10.7 GHz. Microwave retrievals are also insensitive to water vapor and aerosols. The algorithm for retrieving SSTs from radiometer data is described in "AMSR Ocean Algorithm."
GPM PR on TRMM Precipitation Statistics, at Surface and Fixed Heights 1 day 0.25x0.25 degree V07 (GPM_3PRD) at GES DISC
This a new (GPM-formated) TRMM product. There is no equivalent in the old TRMM suite of products.Version 07 is the current version of the data set. Older versions will no longer be available and have been superseded by Version 07.This is the GPM-like formatted TRMM Precipitation Radar (PR) daily gridded data, first released with the "V8" TRMM reprocessing. The daily radar grid data is new for TRMM nomenclature and is introduced for consistency with the GPM Dual-frequency Precipitation Radar (DPR). The closest ancestor was 3A25 which was a monthly radar statistics.This product consists of daily statistics of the PR measurements at (0.25x0.25) degrees horizontal resolution.The objective of the algorithm is to calculate various daily statistics from the level 2 PRoutput products. Four types of statistics are calculated:1. Probabilities of occurrence (count values)2. Means and standard deviationsIn all cases, the statistics are conditioned on the presence of rain or some other quantity suchas the presence of stratiform rain or the presence of a bright-band. For example, to computethe unconditioned mean rain rate, the conditional mean must be multiplied by the probabilityof rain which, in turn is calculated from the ratio of rain counts to the total number ofobservations in the box of interest. The grids are in the Planetary Grid 2 structure matching the Dual-frequency PR on the core GPM observatory that covers 67S to 67N degrees of latitudes. Areas beyond the ±40 degrees of latitudes are padded with empty grid cells.
CERES ERBE-like Monthly Geographical Averages TRMM PFM Edition2
CER_ES4_TRMM-PFM_Edition2 is the Clouds and the Earth's Radiant Energy System (CERES) Earth Radiation Budget Experiment (ERBE)-like Monthly Geographical Averages Tropical Rainfall Measuring Mission (TRMM) proto flight model (PFM) Edition 2 data product. Data for this product was collected by the CERES PFM instrument on the TRMM platform. Data collection for this product is complete. CER_ES4_TRMM-PFM_Edition2 data are CERES instrument Top-of-the-Atmosphere (TOA) fluxes that used algorithms identical to those used by ERBE, averaged regionally, zonally, and globally. The ERBE-like Monthly Geographical Averages (ES-4) product contains a month of space and time-averaged CERES data for a single scanner instrument. The ES-4 is also produced for combinations of scanner instruments. For each observed 2.5-degree spatial region, the daily average, the hourly average over the month, and the overall monthly average of shortwave and long-wave (LW) fluxes at the Top-of-the-Atmosphere (TOA) from the CERES ES-9 product are spatially nested up from 2.5-degree regions to 5- and 10-degree regions, to 2.5-, 5-, and 10-degree zonal averages, and to global monthly averages. For each nested area, the albedo and net flux are given. For each region, the daily average flux is estimated from an algorithm that uses the available hourly data, scene identification data, and diurnal models. CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions are a follow-on to the successful ERBE mission. The first CERES instrument, PFM, was launched on November 27, 1997, as part of the TRMM. Two CERES instruments (FM1 and FM2) were launched into polar orbit onboard the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched onboard Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched onboard the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched onboard the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.
GPM PR on TRMM Echo Power L1B 1.5 hours 5 km V07 (GPM_1BPR) at GES DISC
This is the new (GPM-formated) TRMM product. It replaces the old TRMM_1B21,1C21 Version 07 is the current version of the data set. Previous versions have been superseded by Version 07.The TRMM Precipitation Radar (PR), the first of its kind in space, is an electronically scanning radar, operating at 13.8 GHz that measures the 3-D rainfall distribution over both land and ocean, and defines the layer depth of the precipitation. The 1B21 calculates the received power at the PR receiver input point from the Level-0 count value which is linearly proportional to the logarithm of the PR receiver output power. To convert the count value to the input power, extensive internal calibrations are applied, which are mainly based upon the system model, temperature dependence of model parameters and many temperature sensors attached at various locations of the PR. Periodically the input-output characteristics are measured using an internal calibration loop for the IF unit and later receiver stages. To make an absolute calibration, an Active Radar Calibrator (ARC) is placed at Kansai Branch of CRL and overall system gain of the PR is being measured every 2 months. Using the transfer function based on the above internal and external calibrations, the PR received power is obtained. Note that the value assumes that the signal follows the Rayleigh fading, so if the fading characteristics of a scatter is different, a small bias error may occur (within 1 or 2 dB). 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: 215 km; Horizontal Resolution: 4.3 km Post-Boost (after 24 August 2001): Temporal Resolution: 92.5 min/orbit ~ 16 orbits/day; Swath Width: 247 km; Horizontal Resolution: 5.0 km
GPM PR and TMI on TRMM Combined Gridded Orbital Convective-Stratiform Latent Heating Profiles L3 1.5 hours 0.25x0.25 degree V07 (GPM_3GCSH_TRMM) at GES DISC
This is the new (GPM-formated) TRMM product. It replaces the old TRMM legacy product TRMM_3G31.Version 07 is the current version of the data set. Older versions will no longer be available and have been superseded by Version 07.Estimating vertical profiles of latent heating released by precipitating cloud systems is one of the key objectives of TRMM, together with accurately measuring the horizontal distribution of tropical rainfall.The method uses TRMM PR information [precipitation-top height (PTH), precipitation rates at the surface and melting level, and rain type] to select heating profiles from lookup tables. Heating-profile lookup tables for the three rain types—convective, shallow stratiform, and anvil rain (deep stratiform with a melting level)—were derived from numerical simulations of tropical cloud systems from the Tropical Ocean and Global Atmosphere Coupled Ocean–Atmosphere Response Experiment (TOGA COARE) utilizing a cloud-resolving model (CRM). The CSH algorithm is severely limited by the inherent sensitivity of the TRMM PR. For latent heating, the quantity required is actually cloud top, but the PR can detect only precipitation-sized particles.Because observed information on precipitation depth is used in addition to precipitation type and intensity, differences between shallow and deep convection are more distinct in the CSH algorithm in comparison with the CSH algorithm.The Gridded Orbital Spectral Latent Heating is actually one orbit gridded onto a global map with 0.25x0.25 degree grid cell size. These latent heating profiles from the TRMM Precipitation Radar (PR) rain. The granule temporal size is one orbit.
GPM PR and TMI on TRMM (Combined Precipitation) L3 1 month 0.25x0.25 degree V07 (GPM_3CMB_TRMM) at GES DISC
This is the new (GPM-formated) TRMM Combined product, using the GPM algorithms, for the TRMM epoch (December 1997 - April 2015). It replaces the old TRMM_3B31This is the GPM-like formatted TRMM Combined Precipitation (TRMM Ku radar and microwave radiometer/imager), first released with the "V8" TRMM reprocessing. The corresponding GPM Combined product is archived under the name GPM_3CMB, with beginning date March 2014.Gombined Radar-Radiometer Algorithm performs two basic functions:First, it provides, in principle, the most accurate, high resolution estimates of surface rainfall rate and precipitation vertical distributions that can be achieved from a spaceborne platform, and it is therefore valuable for applications where information regarding instantaneous storm structure are vital.Second, a global, representative collection of combined algorithm estimates will yield a single common reference dataset that can be used to “cross-calibrate” rain rate estimates from all of the passive microwave radiometers in the TRMM and GPM constellations.The cross-calibration of radiometer estimates is crucial for developing a consistent, high time-resolution precipitation record for climate science and prediction model validationapplications.
TRMM (TMPA-RT) Near Real-Time Microwave precipitation estimate L3 3 hour 0.25 degree x 0.25 degree V7 (TRMM_3B40RT) at GES DISC
TMPA (3B40RT) dataset have been discontinued as of Dec. 31, 2019, and users are strongly encouraged to shift to the successor IMERG datasets (doi: 10.5067/GPM/IMERG/3B-HH-E/06, 10.5067/GPM/IMERG/3B-HH-L/06). These data were output from the TRMM Multi-satellite Precipitation Analysis (TMPA), the Near Real-Time (RT) processing stream. The latency was about seven hours from the observation time, although processing issues may delay or prevent this schedule. Users should be mindful that the price for the short latency of these data is the reduced quality as compared to e.g. research quality product 3B42. This particular dataset is an intermediate high-quality (HQ) estimate from merged Microwave precipitation estimates.Data files start with a header consisteing of a 2880-byte header record containing ASCII characters. The header line makes the file nearly self-documenting, in particular spelling out thevariable and version names, and giving the units of the variables. Immediately after the header follow the data fields. All fields are 1440x720 grid boxes (0-360�E,90�N-S). The first grid box center is at (0.125�E,89.875�N). The grid increments most rapidly to the east. Grid boxes without valid data are filled with the (2-byte integer) "missing" value -31999. Estimates are only computed for the band 70�N-S. This binary data sets are in IEEE ?big-endian? floating-point format.Files are produced every 3 hours on synoptic observation hours (00, 03, ..., 21 UTC) as an accumulation of all HQ swath data observed within +/-90 minutes of the nominal file time. I.e. Each file is a snapshot considered to represent the three-hour period centered on the "nominal" file time. So, e.g., 00 UTC nominally represents the period from 2230 UTC of the previous day to 0130 UTC of the current day.
GPM TMI on TRMM (GPROF) Climate-based Radiometer Precipitation Profiling L2A 1.5 hours 13 km V07 (GPM_2AGPROFTRMMTMI_CLIM) at GES DISC
This is the new (GPM-formated) TRMM product. It replaces the old TRMM_2A12 Version 07 is the current version of the data set. Older versions will no longer be available and have been superseded by Version 07. The "CLIM" products differ from their "regular" counterparts (without the "CLIM" in the name) by the ancillary data they use. They are Climate-Reference products, which requires homogeneous ancillary data over the climate time series. Hence, the ECMWF-Interim (European Centre for Medium-Range Weather Forecasts, 2-3 months lag behind the regular production) reanalysis is used as ancillary data to derive surface and atmospheric conditions required by the GPROF algorithm for the "CLIM" output. The GPROF databases are also adjusted accordingly for these climate-referenced retrievals.The 2AGPROF (Goddard Profiling) algorithm retrieves consistent precipitation and related science fields from the following GMI and partner passive microwave sensors:+ TMI (TRMM)+ GMI, (GPM)+ SSMI (DMSP F15), SSMIS (DMSP F16, F17, F18, F19)+ AMSR2 (GCOM-W1)+ MHS (NOAA 18,19)+ MHS (METOP A,B)+ ATMS (NPP)+ SAPHIR (MT1)This provides the bulk of the 3-hour coverage achieved by GPM. For each sensor, there are nearrealtime (NRT) products, standard products, and climate products. These differ only in the amount of data that are available within 3 hours, 48 hours, and 3 months of collection, as well as the ancillary data used. The NRT product uses GANAL forecast fields. Standard products use the GANAL analysis product, while the climate product uses ECMWF reanalysis in order to allow for consistent data records with earlier missions. These earlier data may be archived separately. The main strength of the product is the large sampling provided.The GPM radiometer algorithms are Bayesian-type algorithms. These algorithms search an apriori database of potential rain profiles and retrieve a weighted average of these entries based upon the proximity of the observed brightness temperature (Tb) to the simulated Tb corresponding to each rain profile. By using the same a-priori database of rain profiles, with appropriate simulated Tb for each constellation sensor, the Bayesian method is completely parametric and thus well suited for GPM's constellation approach. The a-priori information will be supplied by the combined algorithm supplied by GPM's core satellite as soon after launch as feasible. Databases for V0 of the algorithm had to be constructed from various sources as described in the ATBD. The solution provides a mean rain rate as well as the vertical structure of cloud and precipitation hydrometeors and their uncertainty.
GPM TMI on TRMM Common Calibrated Brightness Temperatures L1C 1.5 hours 13 km V07 (GPM_1CTRMMTMI) at GES DISC
This a new (GPM-formated) TRMM product. There is no equivalent in the old TRMM suite of products.All 1C products have a common L1C data structure, simple and generic. Each L1C swath includes scan time, latitude and longitude, scan status, quality, incidence angle, Sun glint angle, and the intercalibrated brightness temperature (Tc). One or more swaths are included in a product. The radiometer data are recalibrated to a common basis so that precipitation products derived from them are consistent. 1CSSMIS contains common calibrated brightness temperature from the SSMIS passive microwave instruments flown on the DMSP satellites. Swath S1 has 3 low frequency channels (19V 19H 22V). Swath S2 has 2 low frequency channels (37V 37H). Swath S3 has 4 high frequency channels (150H 183+/-1H 183+/-3H 183+/-7H). S4 has 2 high frequency channels (91V 91H). All the above frequencies are in GHz. Earth observations for all four swaths are taken during a 144o segment of the instrument rotation when SSMIS scans in the direction of foreward satellite motion. We define the spacecraft vector (v) at the center of this segment.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
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