D4LAXMNT is a Late Look, daily, gridded high time-resolution, global analysis product produced in HDF-EOS format by GMAO for the University of Montana. The daily product consists of a combination of 8 appended time-averaged sets of data from 00Z on the current day to 00Z on the following day and 8 instantaneous data range sets from 22.5Z on the previous day to 22.5Z on the current day. The types of data are energy related temperature, pressure, flux, and humidity. The identifying metadata are in Range Date Time format.

The filename format is the following:
DAS.llk.asm.V_Montana.GEOS4nn.yyyymmddhh.yyyymmddhh.V##

where from left to right:
nn begins at 01 and is incremented for improvements;
yyyy =data start year, mm data start month, dd = data start day, hh = data start hour; yyyy =data end year, mm = data end month, dd = data end day, hh = data end hour; ## = 01 for first generation and is incremented for reprocessing.

The GPM Ground Validation Goddard Profiling Algorithm (GPROF) 2014 IFloodS dataset consists of precipitation data derived from microwave radiometers and sounders located on multiple satellites, including the Defense Meteorological Satellite Program (DMSP) F16-18, the Global Change Observation Mission – Water "Shizuku" (GCOM-W1), the European Space Agency's (ESA’s) Meteorological Operational satellite programme (MetOp) series, and NOAA's Polar Operational Environmental Satellites (POES) series. The data have been consistently processed for the Iowa Flood Studies (IFloodS) field campaign conducted in eastern Iowa during spring 2013. The goals of the IFloodS campaign were to collect detailed measurements of precipitation at the Earth’s surface using ground instruments and advanced weather radars and to simultaneously collect data from satellites passing overhead. The GPROF 2014 data files are available from March 31 to July 2, 2013 in HDF-5 format.

The First ISCCP Regional Experiments have been designed to improve data products and cloud/radiation parameterizations used in general circulation models (GCMs). Specifically, the goals of FIRE are (1) to improve basic understanding of the interaction of physical processes in determining life cycles of cirrus and marine stratocumulus systems and the radiative properties of these clouds during their life cycles and (2) to investigate the interrelationships between the ISCCP data, GCM parameterizations, and higher space and time resolution cloud data.To-date, four intensive field-observation periods were planned and executed: a cirrus IFO (October 13-November 2, 1986); a marine stratocumulus IFO off the southwestern coast of California (June 29-July 20, 1987); a second cirrus IFO in southeastern Kansas (November 13-December 7, 1991); and a second marine stratocumulus IFO in the eastern North Atlantic Ocean (June 1-June 28, 1992). Each mission combined coordinated satellite, airborne, and surface observations with modeling studies to investigate the cloud properties and physical processes of the cloud systems.Cirrus IFO-I was conducted from October 13 to November 2, 1986 in central Wisconsin. The NCAR Sabreliner aircraft measured radiation and microphysical properties of the cloud layers, in addition to temperature, moisture, and air motions.

This dataset provides aircraft navigational parameters and related meteorological data (often referred to as "housekeeping" data) in support of the research activities for the two aircraft that flew for the NASA Atmospheric Carbon and Transport-America (ACT-America) project. ACT-America's mission spans five years and includes five 6-week intensive field campaigns covering all 4 seasons and 3 regions of the central and eastern United States. Two instrumented aircraft platforms, the NASA Langley Beechcraft B200 King Air and the NASA Goddard Space Flight Center's C-130H Hercules, were used to collect high-quality in situ measurements across a variety of continental surfaces and atmospheric conditions. During these flights, aircraft positional, meteorological, and environmental data are recorded by a variety of instruments. For this dataset, measurements include, but are not limited to: latitude, longitude, altitude, ground speed, air temperature, and wind speed and direction. These data are incorporated into related ACT-America flight-instrumented datasets to provide geotrajectory file information for position, attitude, and altitude awareness of instrumented sampling.

Monthly averages of atmospheric temperature and VMR for atmospheric species are provided at 2 deg. lat. X 4 deg. long. spatial grids and at a subset of TES standard pressure levels. Algorithms for deriving TES L3 data will be provided in the data files.

Monthly averages of atmospheric temperature and VMR for atmospheric species are provided at 2 deg. lat. X 4 deg. long. spatial grids and at a subset of TES standard pressure levels. Algorithms for deriving TES L3 data will be provided in the data files.

Monthly averages of atmospheric temperature and VMR for atmospheric species are provided at 2 deg. lat. X 4 deg. long. spatial grids and at a subset of TES standard pressure levels. Algorithms for deriving TES L3 data will be provided in the data files.

These data provide daily snow, temperature, and precipitation data for North America from 1959 to 2009. They are gridded to a 1-degree latitude by 1-degree longitude resolution to create a 114 x 58 grid for each day of data.

LRIRN6L2IPAT is the Nimbus-6 Limb Radiance Inversion Radiometer (LRIR) Level 2 Inverted Profiles of Temperature and Ozone data product. The product contains daily profiles of temperature and ozone concentration profiles that were inverted from radiances measured in four spectral regions: two in the 15 micron carbon dioxide band; one in the 9.7 micron ozone band; and one located in the rotational water vapor band (23 to 27 microns). The calibrated radiances are also included in this product. There are a maximum of 13 orbits per day each with up to 115 profiles per orbit.

LRIR is a limb profiler with spatial coverage from latitude -64 to +84 degrees. Vertical profiles are provided at 17 standard pressure levels (from 100 to 0.1 mbar, i.e., from 15 to 64 km) with about 1.5 km vertical resolution. The instrument operated successfully and data are available from 20 June 1975 to 6 January 1976. After this, the detector temperature began to rise rapidly, and the instrument was turned off. The principal investigator for the LRIR experiment was Dr. John Gille from NCAR.

This product was previously available from the NSSDC with the identifier ESAD-00037 (old ID 75-052A-04A).

Version 06 is the current version of the data set. Older versions will no longer be available and have been superseded by Version 06.

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.