The Temperatures of Troposphere / Stratosphere (TTS) (AMSU channel 7 and MSU channel 3) CDR is generated by using National Oceanic and Atmospheric Administration (NOAA) and Europe METeorological Operational satellite-A (Metop/A) satellites.

The Temperatures in the Lower Stratosphere (TLS) (AMSU channel 9 and MSU channel 4) CDR is generated by using National Oceanic and Atmospheric Administration (NOAA), National Aeronautics and Space Administration (NASA), and Europe METeorological Operational satellite-A (Metop/A) satellites which have been calibrated using coincident Global Positioning System (GPS) Radio Occultation (RO) temperature profile measurements from Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC) and Challenging Mini-satellite Payload (CHAMP), and Gravity Recovery And Climate Experim

This Global Summaries dataset, known as GSOM for Monthly, contains a monthly resolution of meteorological elements from 1763 to present with updates applied weekly.

This Global Summaries dataset, known as GSOY for Yearly, contains a yearly resolution of meteorological elements from 1763 to present with updates applied weekly.

The North American Dataset contains sets of Maximum, Minimum and Average Temperature data and Precipitation data that are either (1) raw (non-adjusted though flagged for possible quality issues), (2) adjusted due to time of observation bias (TOB) or (3) put through the Pairwise Homogenization Algorithm (PHA). These files contain North American stations and its data are measured in hundredths of degrees Celsius (without decimal place) for temperature and tenths of millimeters (without decimal place) for Precipitation. Each file includes the entire available Period of Record.

The GHCN-Monthly Temperature Version 4 dataset consists of monthly mean temperature (both raw and bias corrected data), monthly mean maximum, and minimum temperature. GHCN-M is the core global land surface air temperature dataset used for climate monitoring and assessment activities. GHCN-M version 4 contains monthly mean temperature for over 25,000 stations across the globe and brings consistency with temperature observations found in the GHCN-Daily dataset.

These are raw ship and buoy (moored and drifting) observations provided by World Meteorological Organization (WMO) Member States. Data are transmitted through the WMO Global Telecommunication System (GTS) and picked up by the National Weather Service's Telecommunication Gateway (NWS-TG) where it is made available to NCEI . Member States are transitioning from ASCII to BUFR formats and this collection will assure that data in both formats are archived for future use.

The International Satellite Cloud Climatology Project (ISCCP) focuses on the distribution and variation of cloud radiative properties to improve the understanding of the effects of clouds on climate, the radiation budget, and the long-term global hydrologic cycle.

The ISCCP H-Series Climate Data Record consists of several parts:
(1) ISCCP H-Series dataset,
(2) ISCCP-Basic H-Series, and
(3) Ancillary and input datasets.

The Experimental USCRN data consists of data from four separate locations. Two of these stations--Johnstown, PA and Sterling, VA--were used to establish USCRN data collection and processing for precipitation. These "testbed" stations were important to evaluate the best instrumentation for the USCRN sites and their relation to other standard precipitation gauges available between 2003 and 2008. Also included is data from Marshall Field, Boulder, CO which continues to be used to calibrate different instruments used at the USCRN sites.

The Stratospheric Water and Ozone Satellite Homogenized (SWOOSH) data set is a merged record of stratospheric ozone and water vapor measurements taken by a number of limb sounding and solar occultation satellites over the previous ~30 years. The SWOOSH record spans 1984 to present, and is comprised of data from the SAGE-II/III, UARS HALOE, UARS MLS, and Aura MLS instruments. The measurements are homogenized by applying corrections that are calculated from data taken during time periods of instrument overlap.