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NOAA Climate Data Record (CDR) of the eXtended AVHRR Polar Pathfinder (APP-X) cryosphere contains 19 geophysical variables over the Arctic and Antarctic for the period 1982 - present. All of them have undergone various degrees of validation, though not all are considered CDR quality. The variables are (those considered by the developers to be CDR-quality are identified with an asterisk): Surface temperature, all-sky, snow, ice, and land* Surface albedo, all-sky* Sea ice thickness* Surface type Cloud mask* Cloud particle thermodynamic phase Cloud optical depth Cloud particle effective radius Cloud temperature Cloud pressure Cloud type Downwelling shortwave radiation at the surface* Downwelling longwave radiation at the surface* Upwelling shortwave radiation at the surface* Upwelling longwave radiation at the surface* Upwelling shortwave radiation at the TOA* Upwelling longwave radiation at the TOA* Shortwave cloud radiative forcing at the surface Longwave cloud radiative forcing at the surface APP-x data products are mapped to a 25 km EASE grid at two local solar times: 04:00 and 14:00 for the Arctic, and 02:00 and 14:00 for the Antarctica. Using local solar time rather than standard UTC times provides better information on diurnal differences at all locations. The latest update to version 2 includes folding in the APP FCDR updates (updated calibration coefficients for AVHRR GAC visible channels) along with improved algorithms for the land mask, cloud mask, and ice thickness.

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This data set is for the bias-corrected, reprocessed CPC Morphing technique (CMORPH) high-resolution global satellite precipitation estimates. The CMORPH satellite precipitation estimates are created in two steps. First, the purely satellite-based global fields of precipitation are constructed through integrating Level 2 retrievals of instantaneous precipitation rates from all available passive microwave (PMW_ measurements aboard low earth orbiting platforms. Bias in these integrated satellite precipitation estimates is then removed through comparison against CPC daily gauge analysis over land and adjustment against the Global Precipitation Climatology Project (GPCP) merged analysis of pentad precipitation over ocean. The bias corrected CMORPH satellite precipitation estimates are created on an 8kmx8km grid over the global domain from 60deg S to 60deg N and in a 30-minute interval from January 1, 1998. Due to the delay of some input data sets, this formal version (Version 1) bias corrected CMORPH is produced manually once a month at a latency of 3-4 months. For the CDR production, the bias corrected CMORPH generated at its native resolution of 8kmx8km / 30-minute is upscaled to form THREE sets of data files of different time/space resolution for improved user experience:a) the full-resolution CMORPH data Output variable: precipitation rate in mm/hourspatial resolution: 8kmx8km (at equator)spatial coverage: global (60S-60N)temporal resolution: 30mindata period: January 1, 1998 to the presentb) Hourly CMORPHOutput variable: precipitation rate in mm/hourspatial resolution: 0.25deg lat/lonspatial coverage: global (60S-60N)temporal resolution: hourlydata period: January 1, 1998 to the presentc) Daily CMORPHOutput variable: daily precipitation in mm/dayPrinted 2015-06-08 - Verify Document Currency Before Use 1spatial resolution: 0.25deg lat/lonspatial coverage: global (60S-60N)temporal resolution: hourlydata period: January 1, 1998 to the present(b) and (c) are derived from and quantitatively consistent with the CMORPH at its original resolution (a).

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The Global Precipitation Climatology Project (GPCP) consists of monthly satellite-gauge and associated precipitation error estimates and covers the period January 1979 to the present. The general approach is to combine the precipitation information available from each of several satellite and in situ sources into a final merged product, taking advantage of the strengths of each data type: passive Microwave estimates are based on SSMI/SSMIS data; infrared precipitation estimates are included, using GOES data and POES data; as well as other low earth orbit data and insitu observations. Data are provided on a 2.5 degree grid.

This dataset includes monthly gridded temperature anomalies on a global 2.5 x 2.5 degree grid derived from Microwave Sounding Unit (MSU) and Advanced Microwave Sounding Unit (AMSU) radiance data since December 1978. In addition, there are monthly regional anomalies and monthly mean annual cycle temperatures. All products are derived for four bulk layers of the atmosphere: the Lower Troposphere (TLT), Mid-Troposphere (TMT), Tropopause (TTP) and Lower Stratosphere (TLS). Version 6.0 is the latest UAH version archived at NOAA and is updated monthly. It utilizes the linear calibration equation with hot-target correction for the MSU series (TIROS-N through NOAA-14) rather than other non-linear calibration equations. Gridded values of absolute temperature are calculated from a polynomial fit in the vertical coordinate of all view angle temperatures binned into each grid over a month. The selected temperature is calculated from a prescribed view-angle where it intersects the polynomial fit of the temperature vs. view-angle relationship or each grid. The diurnal adjustment is completely empirical, calculated by comparing a diurnally-drifting spacecraft against one that is not drifting during their overlap comparison period (for a.m. spacecraft, NOAA-15 vs. (non-drifting) AQUA, and for p.m., NOAA-18 vs. (non-drifting) NOAA-19 during 4 years). The calculated diurnal relationship of temperature change vs. time of day is then applied to all drifting satellites. The Lower Troposphere is calculated from a linear combination of TMT, TTP and TLS rather than from a linear combination of view-angles from the single channel (MSU2 or AMSU5) as was done in versions 5.6 and earlier. A new bulk layer centered on the Tropopause was added in version 6.0. These products were converted from the native text file format to netCDF-4 following CF metadata conventions, and they are accompanied by algorithm documentation, data flow diagram and source code for the NOAA CDR Program.

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