Downscaled Climate and Hydrology Projections Archive Date 10-Jun-2020 Archive Collaborators: Bureau of Reclamation California-Nevada Climate Applications Program Climate Analytics Group Cooperative Institute for Research in Environmental Sciences Lawrence Livermore National Laboratory National Center for Atmospheric Research Santa Clara University Scripps Institution of Oceanography Southwest Climate Adaptation Science Center U.S. Army Corps of Engineers U.S. Geological Survey I. Terms of Use These projections are being distributed to interested users for consideration in research and planning applications. Such applications may include any project carried out by an individual or organized by a university, a scientific institute, public agency, or private sector entity for research or planning purposes. Any decision to use these projections is at the interested user's discretion and subject to the Disclaimer provided below. II. Disclaimer These projections are being made available to provide immediate access for the convenience of interested persons. They are being made available by Archive Collaborators (i.e. Bureau of Reclamation, California-Nevada Climate Applications Program, Climate Analytics Group, Cooperative Institute for Research in Environmental Sciences, Lawrence Livermore National Laboratory, National Center for Atmospheric Research, Santa Clara University, Scripps Institution of Oceanography, Southwest Climate Adaptation Science Center, U.S. Army Corps of Engineers, and U.S. Geological Survey). Archive Collaborators believe the information to be correct representations of potential high-resolution climate/hydrologic variations and changes subject to the limitations of the CMIP3 and CMIP5 global climate simulations, and the downscaling methods and their limitations, as described elsewhere in this web site. However, human and mechanical errors remain possibilities. Therefore, Archive Collaborators do not guarantee the accuracy, completeness, timeliness, or correct sequencing of the information. Also, neither Archive Collaborators, nor any of the sources of the information shall be responsible for any errors or omissions, or for the use or results obtained from the use of this information. III. Acknowledgements and Citation of these Projections Whenever you publish research based on projections from this archive, please include two acknowledgements: 1. First, acknowledge the superceding effort. a. For CMIP3, the following is language suggested by the CMIP3 archive hosts at PCMDI: "We acknowledge the modeling groups, the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and the WCRP's Working Group on Coupled Modelling (WGCM) for their roles in making available the WCRP CMIP3 multi-model dataset. Support of this dataset is provided by the Office of Science, U.S. Department of Energy." PCMDI also requests that in first making reference to the projections from this archive, please first reference the CMIP3 dataset by including the phrase "the World Climate Research Programme's (WCRP's) Coupled Model Intercomparison Project phase 3 (CMIP3) multi-model dataset". Subsequent references within the same publication might refer to the CMIP3 data with terms such as "CMIP3 data", "the CMIP3 multi-model dataset", "the CMIP3 archive", or the "CMIP3 dataset". b. For CMIP5, , the model output should be referred to as "the CMIP5 multi-model ensemble [archive/output/results/of simulations/dataset/ ...]". In publications, you should include a table (referred to below as Table XX) listing the models and institutions that provided model output used in your study. In this table and as appropriate in figure legends, you should use the CMIP5 "official" model names found in "CMIP5 Modeling Groups and their Terms if Use" (pdf document, also in Word doc format). In addition, an acknowledgment similar to the following should be included in your publication: "We acknowledge the World Climate Research Programme's Working Group on Coupled Modelling, which is responsible for CMIP, and we thank the climate modeling groups (listed in Table XX of this paper) for producing and making available their model output. For CMIP the U.S. Department of Energy's Program for Climate Model Diagnosis and Intercomparison provides coordinating support and led development of software infrastructure in partnership with the Global Organization for Earth System Science Portals." where, "Table XX" in your paper should list the models and modeling groups that provided the data you used. In addition it may be appropriate to cite one or more of the CMIP5 experiment design articles listed on the CMIP5 reference page. 2. Second, generally acknowledge this archive as "Downscaled CMIP3 and CMIP5 Climate and Hydrology Projections" archive at http://gdo-dcp.ucllnl.org/downscaled_cmip_projections/. To reference specific information in the archive, you may also use the following references: a. for BCSD CMIP3 climate: Maurer, E.P., L. Brekke, T. Pruitt, and P.B. Duffy, 2007, ­ Eos Trans. AGU, 88(47), 504. b. for BCSD CMIP3 hydrology: Reclamation, 2011, West-Wide Climate Risk Assessments: Bias-Corrected and Spatially Downscaled Surface Water Projections, Technical Memorandum No. 86-68210-2011-01, prepared by the U.S. Department of the Interior, Bureau of Reclamation, Technical Services Center, Denver, Colorado, 138 p. c. for BCSD CMIP5 climate: Provide citation to: Reclamation, 2013. Downscaled CMIP3 and CMIP5 Climate Projections: Release of Downscaled CMIP5 Climate Projections, Comparison with Preceding Information, and Summary of User Needs. U.S. Department of the Interior, Bureau of Reclamation, 104 p., available at: http://gdo-dcp.ucllnl.org/downscaled_cmip_projections/techmemo/downscaled_ climate.pdf. d. for BCSD CMIP5 hydrology: Reclamation, 2014. Downscaled CMIP3 and CMIP5 Hydrology Projections - Release of Hydrology Projections, Comparison with Preceding Information, and Summary of User Needs. U.S. Department of the Interior, Bureau of Reclamation,104 p., available at: http://gdo-dcp.ucllnl.org/downscaled_cmip_projections/techmemo/downscaled_ climate.pdf. e. for the locally constructed analogs method (LOCA) CMIP5 projections: Pierce, D. W., D. R. Cayan, and B. L. Thrasher, Statistical Downscaling Using Localized Constructed Analogs (LOCA)*, Journal of Hydrometeorology, 15(6), 2558-2585, 2014.; and Pierce, D. W., D. R. Cayan, E. P. Maurer, J. T. Abatzoglou, and K. C. Hegewisch, 2015: Improved bias correction techniques for hydrological simulations of climate change. J. Hydrometeorology, v. 16, p. 2421-2442. DOI: http://dx.doi.org/10.1175/JHM-D-14-0236.1. f. for LOCA CMIP5 hydrologic projections: Vano, J., J. Hamman, E. Gutmann, A. Wood, N. Mizukami, M. Clark, D. W. Pierce, D. R. Cayan, C. Wobus, K. Nowak, and J. Arnold. (June 2020). Comparing Downscaled LOCA and BCSD CMIP5 Climate and Hydrology Projections - Release of Downscaled LOCA CMIP5 Hydrology., available at: http://gdo-dcp.ucllnl.org/downscaled_cmip_projections/techmemo/LOCA_BCSD_hydrology_tech_memo.pdf ################################################################################ ================================================================================ Requested products directory structure ================================================================================ rgrd3 - 2 degree regridded cmip3 GCM projections bc3 - 2 degree Bias-Corrected cmip3 GCM projections bcsd3 - 1/8 degree bias-corrected & downscaled cmip3 GCM projections (monthly) bcca3 - 1/8 degree bias-corrected & downscaled cmip3 GCM projections (daily) hydro3 - 1/8 degree VIC hydrology projections based on cmip3 BCSD projections rgrd5 - 1 degree regridded cmip5 GCM projections bc5 - 1 degree Bias-Corrected cmip5 GCM projections bcsd5 - 1/8 degree bias-corrected & downscaled cmip5 GCM projections (monthly) bcca5 - 1/8 degree bias-corrected & downscaled cmip5 GCM projections (daily) hydro5 - 1/8 degree VIC hydrology projections based on cmip5 BCSD projections loca5 - 1/16 degree bias-corrected & downscaled cmip5 GCM projections (daily) loca_hydro5 - 1/16 degree VIC hydrology projections based on cmip5 LOCA projections loca5_1x1 - 1 degree bias-corrected & downscaled cmip5 GCM projections (daily) These are bias-corrected on the native GCM grid, then downscaled with the LOCA method to 1 degree 1_8obs - 1/8 degree observed (Maurer 2002) data 1obs - 1 degree regridded observed (Maurer 2002) data 2obs - 2 degree regridded observed (Maurer 2002) data 1_16obs - 1/16 degree observed (Livneh 2015) data hydro_obs5 - 1/8 VIC hydrology results based on Maurer, 2002 observed data loca_hydro_obs5 - 1/16 VIC hydrology results based on Livneh, 2015 observed data ================================================================================ For NetCDF data requests (*.nc) ================================================================================ The netcdf header contains infomation about data attributes. Extracted Data Series files --------------------------- Extraction_.nc, where variable(s) = Prcp, Tavg, or TavgPrcp Statistics files ---------------- PeriodStats.nc SpatialStats.nc Projections Order key file (associated with run axis in the .nc file) --------------------------------------------------------------------- Projections3.txt - cmip3 projections Projections5.txt - cmip5 projections ================================================================================ For ASCII comma-delimited (csv) data requests (*.csv) ================================================================================ Extracted Data Series files --------------------------- ..csv where, Variables: # BCSD archive - monthly data Tavg - Average Surface Air Temperature (deg C) Prcp - Average Precipitation Rate (mm/day) # BCCA archive - daily data pr - Precipitation Rate (mm/day) tasmin - Minimum Surface Air Temperature (deg C) tasmax - Maximum Surface Air Temperature (deg C) # LOCA archive - daily data pr - Precipitation Rate (mm/day) kg m-2 s-1 in archive files, converted to mm/day in 'Subset Request' interface tasmin - Minimum Surface Air Temperature (deg C) deg K in archive files, converted to deg C in 'Subset Request' interface tasmax - Maximum Surface Air Temperature (deg C) deg K in archive files, converted to deg C in 'Subset Request' interface # Hyrdology archive - monthly data prcp - Total monthly precipitation (mm) tmax - mean monthly maximum daily temperature (deg C) tmin - mean monthly minimum daily temperature (deg C) wind - mean monthly wind speed (m/s) smc - soil moisture content, state 1st day of month (mm) swe - snow water equivalent in snow pack, state 1st day of month (mm) streamflow - surface runoff + baseflow (mm) et - actual ET (mm) petnatveg - natural vegetaion PET (mm) petwater - open water surface PET (mm) pettall - tall reference crop PET (mm) petshort - short reference crop PET (mm) # LOCA Hydrology archive - daily data precip - Precipitation (mm/day) rainfall - Rainfall Rate (mm/day) Tair - Average Air Temperature (deg C) windspeed - Wind Speed (m/s) soilMoist1 - Soil Moisture (layer 1) (mm) soilMoist2 - Soil Moisture (layer 2) (mm) soilMoist3 - Soil Moisture (layer 3) (mm) SWE - Snow Water Equivalent (mm) del_SWE - Change in SWE (mm/day) baseflow - Baseflow (mm/day) runoff - Runoff (mm/day) ET - Evapotranspiration - Actual (mm/day) pet_natveg - Evapotranspiration - Potential, natural veg (mm/day) Qair - Absolute Humidity (kg/kg) relHumid - Relative Humidity (percent) wdew - Dew Accumulation (mm/day) albedo - Albedo (fraction) latent - Latent Heat Flux (W/m**2) longwave_net - Longwave Net Heat Flux (W/m**2) sensible - Sensible Heat Flux (W/m**2) shortwave_in - Shortwave Down Heat Flux (W/m**2) net_shortwave - Shortwave Net Heat Flux (W/m**2) snow_melt - Snow Melt Rate (mm/day) snowfall - Snowfall Rate (mm/day) sublimation_net - Sublimation (mm/day) # Row/Column information ASCII table rows and columns depend on data request: -- time (rows) x run (columns) -- time (rows) x latitude (columns) -- time (rows) x longitude (columns) -- run (rows) x latitude (columns) -- run (rows) x longitude (columns) -- latitude (rows) x longitude (columns) ROWS_Tavg.txt - time, latitude, or longitude COLS_Tavg.txt - run, latitude, or longitude ROWS_Prcp.txt - time, latitude, or longitude COLS_Prcp.txt - run, latitude, or longitude Statistics files ---------------- __.csv where, variable: same as Variable list above statistic type = SpatialStat, or... PeriodStat statistic: stdev - standard deviation mean - grid-cell-area-weighted mean File Metadata ------------- Info_.txt where, statistic_type = PeriodStat or SpatialStat Row/Column information ---------------------- ROWS_PeriodStat.txt - projection or latitude COLS_PeriodStat.txt - projection or longitude ROWS_SpatialStat.txt - time, days from 1950-1-1 COLS_SpatialStat.txt - projection,