This dataset is derived under the Cross-Calibrated Multi-Platform (CCMP) project and contains a value-added monthly mean ocean surface wind and pseudostress to approximate a satellite-only climatological data record. The CCMP datasets combine cross-calibrated satellite winds obtained from Remote Sensing Systems (REMSS) using a Variational Analysis Method (VAM) to produce a high-resolution (0.25 degree) gridded analysis. The CCMP data set includes cross-calibrated satellite winds derived from SSM/I, SSMIS, AMSR-E, TRMM TMI, QuikSCAT, SeaWinds, WindSat and other satellite instruments as they become available from REMSS. ftp://podaac-ftp.jpl.nasa.gov/allData/ccmp/L3.5a/docs/ccmp_users_guide.pdf Atlas, R., R. N. Hoffman, J. Ardizzone, S. M. Leidner, J. C. Jusem, D. K. Smith, D. Gombos, 2011: A cross-calibrated, multiplatform ocean surface wind velocity product for meteorological and oceanographic applications. Bull. Amer. Meteor. Soc., 92, 157-174. doi: 10.1175/2010BAMS2946.1

This dataset is derived under the Cross-Calibrated Multi-Platform (CCMP) project and contains a value-added 5-day mean ocean surface wind and pseudostress to approximate a satellite-only climatological data record. The CCMP datasets combine cross-calibrated satellite winds obtained from Remote Sensing Systems (REMSS) using a Variational Analysis Method (VAM) to produce a high-resolution (0.25 degree) gridded analysis. The CCMP data set includes cross-calibrated satellite winds derived from SSM/I, SSMIS, AMSR-E, TRMM TMI, QuikSCAT, SeaWinds, WindSat and other satellite instruments as they become available from REMSS. ftp://podaac-ftp.jpl.nasa.gov/allData/ccmp/L3.5a/docs/ccmp_users_guide.pdf Atlas, R., R. N. Hoffman, J. Ardizzone, S. M. Leidner, J. C. Jusem, D. K. Smith, D. Gombos, 2011: A cross-calibrated, multiplatform ocean surface wind velocity product for meteorological and oceanographic applications. Bull. Amer. Meteor. Soc., 92, 157-174. doi: 10.1175/2010BAMS2946.1

Global monthly derived winds can be obtained for any point on the ocean (Northern Hemisphere: 1967 - present, Southern Hemisphere: 1981 - present). ERD was established at the U.S. Navy Fleet Numerical Meteorology and Oceanography Center (FNMOC) to take advantage of the Navy's global oceanographic and meteorological databases. FNMOC produces operational forecasts of the state of the atmosphere and the ocean several times daily and maintains archives of several important parameters, such as sea level pressure and temperature. ERD derives a number of well-known environmental data and index products which are routinely distributed to researchers at many state and federal laboratories, as well as to academic and international researchers.

Global monthly derived winds can be obtained for any point on the ocean (Northern Hemisphere: 1967 - present, Southern Hemisphere: 1981 - present). ERD was established at the U.S. Navy Fleet Numerical Meteorology and Oceanography Center (FNMOC) to take advantage of the Navy's global oceanographic and meteorological databases. FNMOC produces operational forecasts of the state of the atmosphere and the ocean several times daily and maintains archives of several important parameters, such as sea level pressure and temperature. ERD derives a number of well-known environmental data and index products which are routinely distributed to researchers at many state and federal laboratories, as well as to academic and international researchers.

Global monthly derived winds can be obtained for any point on the ocean (Northern Hemisphere: 1967 - present, Southern Hemisphere: 1981 - present). ERD was established at the U.S. Navy Fleet Numerical Meteorology and Oceanography Center (FNMOC) to take advantage of the Navy's global oceanographic and meteorological databases. FNMOC produces operational forecasts of the state of the atmosphere and the ocean several times daily and maintains archives of several important parameters, such as sea level pressure and temperature. ERD derives a number of well-known environmental data and index products which are routinely distributed to researchers at many state and federal laboratories, as well as to academic and international researchers.

This dataset contains ocean surface Eastward wind from SeaWinds on QuikSCAT binned and averaged monthly on 1 degree grids. The coverage is from August 1999 through October 2009. The QuikSCAT Project produced this dataset in support of the CMIP5 (Coupled Model Intercomparison Project Phase 5) under the World Climate Research Program (WCRP) and was first made available via the Earth System Grid. This dataset was derived directly from the QuikSCAT Level 2B dataset, which can be accessed here: https://podaac.jpl.nasa.gov/dataset/QSCAT_LEVEL_2B. The SeaWinds instrument is a conical scanning pencil-beam radar, with dual-beam and dual-polarization capability, operating at Ku-band to provide all-weather ocean surface wind vector retrievals. For more information on the QuikSCAT platform and mission, please visit https://podaac.jpl.nasa.gov/OceanWind/QuikSCAT . For more information about this dataset, please see the documents in ftp://podaac.jpl.nasa.gov/allData/climate_intercomparison/wind/docs/ and ftp://podaac.jpl.nasa.gov/OceanWinds/quikscat/L3/wind_1deg_1mo/docs/ .

Global monthly derived winds can be obtained for any point on the ocean (Northern Hemisphere: 1967 - present, Southern Hemisphere: 1981 - present). ERD was established at the U.S. Navy Fleet Numerical Meteorology and Oceanography Center (FNMOC) to take advantage of the Navy's global oceanographic and meteorological databases. FNMOC produces operational forecasts of the state of the atmosphere and the ocean several times daily and maintains archives of several important parameters, such as sea level pressure and temperature. ERD derives a number of well-known environmental data and index products which are routinely distributed to researchers at many state and federal laboratories, as well as to academic and international researchers.

CCMP_RT V2.1 has been created using the same VAM as CCMP V2.0 Input data have changed and now include all V7 radiometer data from RSS, V8.1 GMI data from RSS, scatterometer data from RSS (V4 QuikSCAT and V1.2 Advanced SCATterometer (ASCAT)), NO buoy data, and National Centers for Environmental Prediction (NCEP) GFS 0.25 degree data for the background field.

,5-minute summary data at NPP C-CALI met station. Average air temperature, wind speed and wind direction are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP C-CALI site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.,,