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NOAA Global Precipitation Climatology Centre (GPCC)
The Global Precipitation Climatology Centre (GPCC), maintained by NOAA's Earth System Research Laboratory, provides two datasets on precipitation. First is the monitoring product for the period 1986 to present, based on quality-controlled data from 7,000 stations. The second is the Full Data Product for the period 1951 to 2004, based on quality-controlled data from a larger number of stations (up to 43,000) with irregular coverage in time. This product is optimized for best spatial coverage and use for water budget studies.
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ECHAM - Atmospheric general circulation model
ECHAM is an atmospheric general circulation model, developed at the Max Planck Institute for Meteorology. It forms the atmospheric component of the MPI-ESM. The ECHAM development branched from an early (ca 1987) version of the global numerical weather prediction model developed at the ECMWF, and has since been continually developed at the Max Planck Institute for Meteorolgy. The ECHAM source code is freely available to the public at large.
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Climate Prediction Center .25x.25 Daily U.S. Unified Precipitation
This data set is part of products suite from the CPC Unified Precipitation Project that are underway at NOAA Climate Prediction Center (CPC). The primary goal of the project is to create a suite of unified precipitation products with consistent quantity and improved quality by combining all information sources available at CPC and by taking advantage of the optimal interpolation (OI) objective analysis technique. The gauge analysis here covers the Conterminous United States on a fine-resolution and is quantitatively consistent with that covering the global land on a coarser resolution.
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NOAA Climate Prediction Center Merged Analysis of Precipitation
This monthly data set, produced by NOAA's Climate Prediction Center, consists of two files containing monthly averaged precipitation rate values. Values are obtained from 5 kinds of satellite estimates (GPI, OPI, SSM/I scattering, SSM/I emission and MSU). The enhanced file also includes blended NCEP/NCAR Reanalysis Precipitation values. The other includes only the satellite estimates. Pentad data is also available.
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MAGICC/SCENGEN: Model for the Assessment of Greenhouse-gas Induced Climate Change, A Regional Climate Scenario Generator
MAGICC and SCENGEN are coupled, user-friendly interactive software suites that allow users to investigate future climate change and its uncertainties at both the global-mean and regional levels. MAGICC carries through calculations at the global-mean level using the same upwelling-diffusion, energy-balance climate model that has been and is employed by IPCC. SCENGEN uses these results, together with spatially detailed results from the CMIP3/AR4 archive of AOGCMs, to produce spatially detailed information on future changes in temperature, precipitation and MSLP, changes in their variability, and a range of other statistics.
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Parameter-elevation Regressions on Independent Slopes Model (PRISM)
Developed at Oregon State University, PRISM is a unique knowledge-based system that uses point measurements of precipitation, temperature, and other climatic factors to produce continuous, digital grid estimates of monthly, yearly, and event-based climatic parameters. PRISM is a knowledge-based system developed primarily to interpolate climate elements in physiographically complex landscapes. Continuously updated, this unique analytical tool incorporates point data, a digital elevation model, and expert knowledge of complex climatic extremes, including rain shadows, coastal effects, and temperature inversions.
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USGS Surface-Water Data for the Nation
The U.S. Geological Survey's (USGS) National Water Information System (NWIS) is a comprehensive and distributed application that supports the acquisition, processing, and long-term storage of water data. Water Data for the Nation serves as the publicly available portal to a geographically seamless set of much of the water data maintained within NWIS
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CMIP5 Coupled Model Intercomparison Project
The fifth phase of the Coupled Model Intercomparison Project (CMIP5), run by the Program for Climate Model Diagnosis and Intercomparison, provides a multi-model context for:
Author or Affiliated User: Arnab Paul
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Hazards - United States (Hazus)
Hazards-United States (Hazus) is a nationally applicable standardized methodology that contains models for estimating potential losses from earthquakes, floods, and hurricanes. Hazus uses Geographic Information Systems (GIS) technology to estimate physical, economic, and social impacts of disasters. It graphically illustrates the limits of identified high-risk locations due to earthquake, hurricane, and floods. Users can then visualize the spatial relationships between populations and other more permanently fixed geographic assets or resources for the specific hazard being modeled, a crucial function in the pre-disaster planning process.
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Pacific Northwest Climate Maps
The Climate Impacts Group (CIG) provides these maps to show how four important parameters of climate - temperature, precipitation, snowpack, and soil moisture - vary over time in the Pacific Northwest (PNW) as a result of natural climate variability and climate change. These maps show climate anomalies associated with different patterns of climate variability compared to average conditions during 1915-2003. The data are derived from historical climate measurements, global climate model simulations, and a spatially-distributed hydrology model.
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