Data deliverables from Arctic Network for 2022. Files may include: protocol, standard operating procedures, site maps, site visit worksheets, datalogger programs, photos, raw data, corrected data, operations report, sensor calibration certificates, and/or periodic reports.

The NOAA/NASA Pathfinder climate data CD-ROM contains seven data sets: Advanced Very High Resolution Radiometer (AVHRR)Land and Ocean, TIROS Operational Vertical Sounder (TOVS) Paths A, C1, C2, Special Sensor Microwave/Imager (SSM/I) Precipitation and Atmospheric Moisture for the Benchmark Period of April 1987 to December 1988. These data sets can be viewed with a variety of applications including GeoVu, the NCEI multi-platform data browse and visualization software application, National Center for Supercomputing Applications (NCSA) Collage, IMDISP, Spyglass, and Idrisi.

Note: This dataset version has been superseded by a newer version. It is highly recommended that users access the current version. Users should only use this version for special cases, such as reproducing studies that used this version. This Climate Data Record (CDR) contains total solar irradiance (TSI) as a function of time created with the Naval Research Laboratory model for spectral and total irradiance (version 2). Total solar irradiance is the total, spectrally integrated energy input to the top of the Earth's atmosphere, at a standard distance of one Astronomical Unit from the Sun. Its units are W per m2. The dataset was created by Judith Lean (Space Science Division, Naval Research Laboratory), Odele Coddington and Peter Pilewskie (Laboratory for Atmospheric and Space Science, University of Colorado). The daily- and monthly-averaged TSI data range from 1882 to the present, and annual-averaged TSI data begin in 1610. The data file format is netCDF-4 following CF metadata conventions. The dataset is accompanied by algorithm documentation, data flow diagram and source code for the NOAA CDR Program.

Abstract

This dataset was derived by the Bioregional Assessment Programme from 'Mean climate variables for all subregions' and 'fPAR derived from MODIS for BA subregions'. You can find a link to the parent datasets in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived.

These are charts of climate statistics and MODIS data for each BA subregion. There are six 600dpi PNG files per subregion, with the naming convention BA-[regioncode]-[subregioncode]-[chartname].png. The charts, according to their filename, are: rain (time-series of rainfall; Figure 1), P-PET (average monthly precipitation and potential evapotranspiration; Figure 2), 5line (assorted monthly statistics; Figure 3), trend (monthly long-term trends; Figure 4) and fPAR (fraction of photosynthetically available radiation - an indication of biomass; Figure 5).

This version was created on 18 November 2014, using data that accounted for a modified boundary for the Gippsland Basin bioregion and the combination of two subregions to form the Sydney Basin bioregion.

Purpose

These charts were generated to be included in the Contextual Report (geography) for each subregion.

Dataset History

These charts were generated using MatPlotLib 1.3.0 in Python 2.7.5 (Anaconda distribution v1.7.0 32-bit).

The script for generating these plots is BA-ClimateCharts.py, and is packaged with the dataset. This script is a data collection and chart drawing script, it does not do any analysis. The data are charted as they appear in the parent datasets (see Lineage). A word document (BA-ClimateGraphs-ReadMe) is also included. This document includes examples of, and approved captions for, each chart.

Dataset Citation

Bioregional Assessment Programme (2014) Charts of climate statistics and MODIS data for all Bioregional Assessment subregions. Bioregional Assessment Derived Dataset. Viewed 14 June 2018, http://data.bioregionalassessments.gov.au/dataset/8a1c5f43-b150-4357-aa25-5f301b1a02e1.

Dataset Ancestors

• Derived From Mean climate variables for all subregions

• Derived From BILO Gridded Climate Data: Daily Climate Data for each year from 1900 to 2012

• Derived From fPar derived from MODIS for BA subregions

Daily and monthly climatalogical records for our station at Tallow Kilmore in Co. Waterford. This station is now closed.

The NOAA Monthly U.S. Climate Gridded Dataset (NClimGrid) consists of four climate variables derived from the GHCN-D dataset: maximum temperature, minimum temperature, average temperature and precipitation. Each file provides monthly values in a 5x5 lat/lon grid for the Continental United States. Data is available from 1895 to the present. In March 2015, new Alaska data was included in the nClimDiv dataset. The Alaska nClimDiv data were created and updated using similar methodology as that for the CONUS. It includes maximum temperature, minimum temperature, average temperature and precipitation. In January 2025, the National Centers for Environmental Information (NCEI) began summarizing the State of the Climate for Hawaii. This was made possible through a collaboration between NCEI and the University of Hawaii/Hawaii Climate Data Portal and completes a long-standing gap in NCEI's ability to characterize the State of the Climate for all 50 states. NCEI maintains monthly statewide, divisional, and gridded average temperature, maximum temperatures (highs), minimum temperature (lows) and precipitation data for Hawaii over the period 1991-2025.

Publication of monthly mean temperature, pressure, precipitation, vapor pressure, and hours of sunshine for approximately 2,000 surface data collection stations worldwide, and monthly mean upper air temperatures, dew point depressions, and wind velocities for approximately 500 observing sites.

Please note, this dataset has been superseded by a newer version (see below). Users should not use this version except in rare cases (e.g., when reproducing previous studies that used this version). USCRN "Processed" Data (labeled as "uscrn-processed"): are interpreted values and derived geophysical parameters with other quality indicators processed from raw data (both Datalogger files and/or Raw Data from GOES and NOAAPort) by the USCRN Team. Climate variable types include air temperature, precipitation, soil moisture, soil temperature, surface temperature, wetness, global solar radiation, relative humidity, and wind at 1.5 m above the ground. Many additional engineering variables are also available. These data have been decoded, quality-flagged, and processed into level 1 hourly data (the only applied quality control is rounding some values as they enter the database), and includes additional calculated values such as precipitation (5-minute and hourly), hourly maximum temperature, hourly minimum temperature, average temperature (5-minute and hourly), soil moisture (volumetric water content, 5-minute values at the 5 cm depth and and hourly values at all depths) for all dielectric values in range, layer average soil moisture (5 minute and hourly), and layer average soil temperature (5 minute and hourly). It is the general practice of USCRN to not calculate derived variables if the input data to these calculations are flagged. These data records are versioned based on the processing methods and algorithms used for the derivations (versions are noted within the data netCDF file), and data are updated when the higher quality raw data become available from stations' datalogger storage (Datalogger Files).

The National Climate Database (NCDB) is a high resolution, bias-corrected climate dataset consisting of the three most widely used variables of solar radiation- global horizontal (GHI), direct normal (DNI), and diffuse horizontal irradiance (DHI)- as well as other meteorological data. The goal of the NCDB is to provide unbiased high temporal and spatial resolution climate data needed for renewable energy modeling. The NCDB is modeled using a statistical downscaling approach with Regional Climate Model (RCM)-based climate projections obtained from the North American Coordinated Regional Climate Downscaling Experiment (NA-CORDEX; linked below). Daily climate projections simulated by the Canadian Regional Climate Model 4 (CanRCM4) forced by the second-generation Canadian Earth System Model (CanESM2) for two Representative Concentration Pathways (RCP4.5 or moderate emissions scenario and RCP8.5 or highest baseline emission scenario) are selected as inputs to the statistical downscaling models. The National Solar Radiation Database (NSRDB) is used to build and calibrate statistical models.

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 Unified Sea Ice Thickness Climate Data Record, 1947 Onward is the result of a concerted effort to collect as many observations as possible of Arctic and Antarctic sea ice draft, freeboard, and thickness and to format them consistently with clear documentation, allowing the scientific community to better utilize what is now a considerable body of observations.

Weather and climate data deliverables from the Central Alaska Inventory and Monitoring Network for 2021. Files may include: protocol, standard operating procedures, site maps, site visit worksheets, datalogger programs, photos, raw data, corrected data, operations report, sensor calibration certificates, and/or periodic reports.

Note: This dataset version has been superseded by a newer version. It is highly recommended that users access the current version. Users should only use this version for special cases, such as reproducing studies that used this version. This NOAA Climate Data Record (CDR) from Colorado State University (CSU) contains brightness temperatures that have been improved and quality-controlled over the observation time period. The temperature data are from the Special Sensor Microwave Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) series of passive microwave radiometers carried onboard the Defense Meteorological Satellite Program (DMSP) satellites. This dataset encompasses data from a total of nine satellites including the SSM/I sensors on board DMSP satellites F08, F10, F11, F13, F14, and F15 as well as the SSMIS sensors on board DMSP satellites F16, F17, and F18. The data record covers the time period from July 1987 through the present with a 7 to 10 day latency. The spatial and temporal resolutions of the FCDR files correspond to the original resolution of the source TDR observations. There are roughly 15 orbits per day with a swath width of approximately 1400 km resulting in nearly global daily coverage. The spatial resolution of the data is a function of the sensor/channel and varies from approximately ~50 km for the lowest frequency channels to ~15km for the high-frequency channels. The processing of the CDR from the BASE Temperature Data Record (TDR) (also produced by CSU) includes a rigorous quality control of the original TDR data, updated geolocation information, corrections for known issues/problems, and adjustments for residual intercalibration differences between sensors. The output parameters include the observed brightness temperatures for each of the seven SSM/I channels and 24 SSMIS channels at the original sensor channel resolution along with latitude and longitude for each pixel, time, quality flags, and view angle information. The file format is netCDF-4 with added metadata that follow the Climate and Forecast (CF) Conventions and Attribute Convention for Dataset Discovery (ACDD).

This dataset contains Level 1c inter-calibrated brightness temperatures from the Microwave Sounding Unit (MSU) sensors onboard nine polar orbiting satellites (TIROS-N, NOAA-6, -7, -8, -9, -10, -11, -12, and -14) spanning from 1978 to 2006. The dataset was produced by the NOAA Center for Satellite Applications and Research (STAR), and is a Fundamental Climate Data Record (FCDR) of microwave brightness temperatures in the NOAA CDR Program. MSU is a four-channel microwave radiometer measuring at 50.3, 53.74, 54.96, and 57.95 GHz, and has ground spatial resolution of about 250 km in diameter at nadir. The native MSU Level 1b data were inter-calibrated using the Integrated Microwave Inter-Calibration Approach (IMICA) method to obtain a long-term data product to be used in climate analyses. For comparison, data files also include the operational data used in NWP forecasting along with the IMICA calibrated radiances, which minimize or remove the biases found in the operational calibration. In addition, limb adjusted radiances for both the IMICA and operational calibrations are included for certain type of climate applications, such as atmospheric layer temperature development using the radiance datasets. The orbital swath data files include MSU channels 2 through 4 for the IMICA calibration, and channels 1 through 4 for the operational calibration. The inter-calibrated MSU data are not expected to change for the dataset time period.

Weather and climate data deliverables from the Central Alaska Inventory and Monitoring Network for 2020. Files may include: protocol, standard operating procedures, site maps, site visit worksheets, datalogger programs, photos, raw data, corrected data, operations report, sensor calibration certificates, and/or periodic reports.

This Level 1 (L1) dataset contains the Version 1.0 Climate Data Record (CDR) of the geo-located Delay Doppler Maps (DDMs) calibrated into Power Received (Watts) and Bistatic Radar Cross Section (BRCS) expressed in units of m2 from the Delay Doppler Mapping Instrument aboard the CYGNSS satellite constellation. Other useful scientific and engineering measurement parameters include the DDM of Normalized Bistatic Radar Cross Section (NBRCS), the Delay Doppler Map Average (DDMA) of the NBRCS near the specular reflection point, and the Leading Edge Slope (LES) of the integrated delay waveform. The L1 dataset contains a number of other engineering and science measurement parameters, including sets of quality flags/indicators, error estimates, and bias estimates as well as a variety of orbital, spacecraft/sensor health, timekeeping, and geolocation parameters. At most, 8 netCDF data files (each file corresponding to a unique spacecraft in the CYGNSS constellation) are provided each day; under nominal conditions, there are typically 6-8 spacecraft retrieving data each day, but this can be maximized to 8 spacecraft under special circumstances in which higher than normal retrieval frequency is needed (i.e., during tropical storms and or hurricanes). Latency is approximately 2 months, depending on the availability of the MERRA wind speed reanalysis. The Version 1.0 CDR represents the first climate-quality release and is a collection of reanalysis products derived from the v2.1 Level 1 data. Calibration accuracy and long term stability are improved relative to the SDR v2.1 using a new trackwise correction algorithm which constrains the average value of the L1 data using MERRA-2 reanalysis wind speeds. Details of the algorithm are provide in the Trackwise Corrected CDR Algorithm Theoretical Basis Document. The CDR exhibits improved calibration accuracy and stability over v2.1. Trackwise correction is applied to the two primary CYGNSS L1 science data products the normalized bistatic radar cross section (NBRCS) and the leading edge slope of the Doppler-integrated delay waveform (LES). The correction compensates for variations in the transmit power level of the GPS signals measured by the CYGNSS bistatic radar receivers. By comparison, the v2.1 SDR L1 algorithm assumes a constant GPS transmit power, and variations in it can be misinterpreted as variations in the L1 data and in subsequent L2 science data products derived from them. The GPS constellation consists of several different satellite models (a.k.a. block types) and the level of transmit power variation differs between them. The more recent Block IIF models (which account for ~37% of the GPS constellation) have significantly larger variations than the older models and, for this reason, they have been screened out and not used to produce v2.1 L2 or L3 science data products. Trackwise correction eliminates the need for this screening so CDR L2 and L3 data products now include Block IIF samples. It should be noted that the trackwise correction algorithm cannot be successfully applied to all v2.1 SDR L1 data, so there is also some loss of samples that were present in v2.1. Overall, there is a significant increase in sampling and improvement in spatial coverage with the CDR products.

Kilfinnane Education Centre Climate Data. Published by Met Éireann. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Daily and monthly climatalogical records for our station at Kilfinnane Education Centre in Co. Limerick. This station is now closed....

This USGS Data Release represents Soil-Water Balance (SWB) groundwater recharge modeling results for the Upper Colorado River Basin (UCRB). The data release was produced in compliance with 'open data' requirements as way to make the scientific products associated with USGS research efforts and publications available to the public. This dataset comprises SWB model results from runs using projected climate data, summarized by water year, and there are 4 separate datafiles associated with this Data Release: 1. SWB model results for actual evapotranspiration (AET), summarized by water year from 1951 through 2099 2. SWB model results for potential evapotranspiration (PET), summarized by water year from 1951 through 2099 3. SWB model results for precipitation, summarized by water year from 1951 through 2099 4. SWB model results for recharge, summarized by water year from 1951 through 2099

This data publication contains 2012 flowering data for the 52 populations of big sagebrush (Artemisia tridentata) grown in 3 garden locations: Majors Flat and Ephraim in Idaho, as well as Orchard, Idaho. Data include geographical details, subspecies, julian date of flowering, and population climate variable information.

This posting contains the source climate data used to run the SWAT model in the Tuckahoe and Greensboro subwatersheds of the Choptank River watershed, Maryland.