Radiosonde observations from Wilf Brutsaert

The temperature profile data included in this data set was derived from the FIFE radiosonde data collected during the summer and fall of 1987 and the late summer of 1989 by Dr. Wilfred H. Brutsaert. These intensive radiosonde flights allowed the measurement of the atmospheric profiles of potential temperature and specific humidity. These data have been corrected for sensor delays, algorithm inconsistencies and have been interpolated to a set of standard pressure levels.

The FIFE Radiosonde Data Set contains temperatures, wind speed, and temperature profiles in the atmospheric boundary layer measured by means of radiosondes that were analyzed in the framework of Monin-Obukhov similarity theory, with the objective of determining the regional surface heat flux. Profiles of temperature, humidity and wind velocity in the atmosphere were measured by means of intensive radiosoundings conducted approximately between 900 and 1800 CDST in northeastern Kansas during the five FIFE Intensive Field Campaigns in spring, summer and fall of 1987, and in the late summer of 1989. Some 445 radiosondes were released to generate the measurements needed to obtain profiles of wind velocity dry-bulb and wet-bulb temperature. The launch site was located near the northern edge of the experimental area to ensure that these profiles reflect surface conditions over the fetch of the experimental area in the general direction of the prevailing southerly wind. The raw radiosonde data described here have been corrected for sensor delays (see the FIFE Temperature and Humidity Profiles) and algorithm inconsistencies, (see the FIFE Radiosonde Wind Profiles) and have been interpolated to a set of standard pressure levels (see the FIFE Standard Pressure Level Radiosonde Data). These derived data sets are described separately.

Derived (5mb interval) radiosonde observations from Wilf Brutsaert's data

Wind profile data derived from Brutsaert's radiosonde measurements

NCDC radiosonde atmospheric profile data from stations near FIFE

Canopy IR & air temperature, albedo, incoming and reflected shortwave, humidity

The Radiosonde Atmospheric Temperature Products for Assessing Climate (RATPAC) consist of time series of radiosonde-based temperature anomalies for the years 1958-present in which the temporal inhomogeneities resulting from changes in instruments and observing practices have been reduced to the extent possible. Developed through a collaborative effort involving NOAA scientists from the Air Resources Laboratory, the Geophysical Fluid Dynamics Laboratory, and NCEI, the RATPAC time series are based on data from 85 stations distributed around global land areas and are available on 13 atmospheric pressure levels: the surface, 850, 700, 500, 400, 300, 250, 200, 150, 100, 70, 50, and 30 hPa. Two sub-products, RATPAC-A and RATPAC-B, were derived using different approaches to meet this need based largely in part on the Temporal Homogenization of Monthly Radiosonde Temperature Data (LKS) bias-adjusted dataset. RATPAC-A contains adjusted global, hemispheric, tropical, and extratropical mean temperature anomalies. From 1958 through 1995, the bases of the data are on spatial averages of LKS adjusted 87-station temperature data. After 1995, they are based on the Integrated Global Radiosonde Archive (IGRA) station data, combined using a first difference method. RATPAC-B contains data for individual stations as well as large-scale arithmetic averages corresponding to areas used for RATPAC-A. The station data consist of adjusted data produced by LKS for the period 1958-1997 and unadjusted data from IGRA after 1997. The regional mean time series in RATPAC-B are based on arithmetic averaging of these station data, rather than the first difference method used to create RATPAC-A. The difference between this version and the original version of RATPAC is that the IGRA component of Version 2 is taken from IGRA v2 rather than IGRA v1.

Surface temp. measured w/ Everest IRT, multiple angles & Eppley IR Radiometer

TOVS data received by FIFE