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2,322 results for “precipitation”
Monthly precipitation data from a network of standard gauges at the Jornada Experimental Range (Jornada Basin LTER) in southern New Mexico, January 1916 - ongoing
This ongoing dataset contains monthly precipitation measurements from a network of standard can rain gauges at the Jornada Experimental Range in Dona Ana County, New Mexico, USA. Precipitation physically collects within gauges during the month and is manually measured with a graduated cylinder at the end of each month. This network is maintained by USDA Agricultural Research Service personnel. This dataset includes 39 different locations but only 29 of them are current. Other precipitation data exist for this area, including event-based tipping bucket data with timestamps, but do not go as far back in time as this dataset.
Photosynthetic rates of leaves from reduced and enhanced precipitation treatments at the Jornada Basin LTER site, 2007-2008
This data package contains photosynthetic rate data for leaves collected from mesquite shrubs and black grama grasses at the Jornada Basin LTER site in 2007-2008. The purpose of this study was to quantify ecophysiological performance of shrubs and grasses in the context of precipitation manipulations. One mesquite and one black grama leaf from each plot (n = 20 plots; 5 PPT treatments X 4 replicate plots/treatment) were measured 5 times beginning July 2007 and ending in August 2008. Plots were subjected to precipitation treatments consisting of +/-80%, +/-50%, and ambient/control. A subset of plots also had a nitrogen addition treatment. Leaves were excised from plants and immediately measured for photosynthetic rate under ideal conditions in a LiCor cuvette. This study has been completed.
Gap-filled daily precipitation at the 15 long-term NPP sites at Jornada Basin LTER, 1980-ongoing
This package contains gap-filled daily precipitation values for the 15 NPP sites at Jornada Basin LTER in southern New Mexico, USA. Sites were selected to represent the 5 major ecosystem types in the Chihuahuan Desert (upland grasslands, playa grasslands, mesquite-dominated shrublands, creosotebush-dominated shrublands, tarbush-dominated shrublands). For each ecosystem type, three sites were selected to represent the range in variability in production and plant diversity; thus the locations are not replicates. Gap-filled daily precipitation was calculated for the period from 1980 to 2020 at each site using the closest rain gauges that provided a minimum resolution of daily precipitation data. The Methods section and attached documents describe this process in detail. The rain gauges used are described, with respect to their relationship to NPP sites, in the attached "daily_gapfill_ppt_gauge_usage.csv" file. Although automated weather stations became operational at all NPP sites in 2013 (except P-SMAL, in 2017), updates to this data package are ongoing and are intended to gap-fill any missing or invalid data from the weather stations.
WAT05 Soil organic matter response to thirty years of increased precipitation at Konza Prairie
This dataset contains carbon and nitrogen concentrations and stocks in total soil organic matter and its fractions from the Konza Prairie Irrigation Transect Experiment. The dataset also includes pyrogenic organic matter C and N, as well as microbial amino sugars and root quality measurements. Data are availble for irrigated and control plots. Total pyrogenic and unburned soil organic matter C and N are availble for both the upland and lowland positions at 0-5, 5-15, and 15-30cm depth increments. Fraction and root data are avaible at both landscape positions, but for only the 0-5cm and 5-15cm depths and 0-5 and 5-30cm depths, respectively. Amino sugar data are only available for the lowland plots for the 0-5 and 5-15cm depths.
ANA01 Weekly, seasonal and annual measurement of precipitation volume and chemistry collected as part of the National Atmospheric Deposition Program at Konza Prairie
Data set contains results of chemical analysis of wetfall samples collected on Konza Prairie. Analysis is done by the Central Analytical Lab (CAL), Champaign, IL as part of the National Atmospheric Deposition Program (NADP). NADP data products available on the NADP/NTN web site (nadp.slh.wisc.edu/data/NTN/) include: Annual Data Summaries, Semiannual Data Reports, Annual and Seasonal Averages, Monthly Averages, and Weekly data. Konza Prairie LTER archives and provides the weekly data in electronic form before May 2019.
NBP01 Nitrogen and phosphorus in bulk precipitation at Konza Prairie
Measurements include rainfall amounts, nitrate (NO3-N), ammonia (NH4-H), soluble reactive phosphate (SRP), and total nitrogen and phosphorus concentrations in bulk precipitation collected at multiple locations. Changes effective July 2022: As of July 2022, we have discontinued the collection of bulk precipitation chemistry data. Data on wetfall chemistry at the Konza Prairie Biological Station from 1982-present is available through the National Atmospheric Deposition Program (NADP - https://nadp.slh.wisc.edu/). Konza Prairie is listed as site #KS31 in the National Trends Network’s database (https://nadp.slh.wisc.edu/sites/ntn-KS31/). Additional data on dry deposition and total (wetfall + dryfall) deposition rates of N and S are also available through the CASTNET site (https://www.epa.gov/castnet/download-data) using SiteID: KNZ184.
Geospatial data for Luquillo Mountains, Puerto Rico: Mean annual precipitation, elevation, watershed outlines, and rain gage locations
The data archive is here: https://doi.org/10.5066/F74F1PM2 please use this DOI when citing this data set. These geospatial data sets were developed as part of a new analysis of all known current and historical rain gages in the Luquillo Mountains, Puerto Rico published in the journal article Murphy, S.F., Stallard, R.F., Scholl, M.A., Gonzalez, G., and Torres-Sanchez, A.J., 2017, Reassessing rainfall in the Luquillo Mountains, Puerto Rico: Local and global ecohydrological implications: PLOS One 12(7): e0180987, p. 1-26, https://doi.org/10.1371/journal.pone.0180987. That article provides a revised map of mean annual precipitation developed using elevation regression functions and residual interpolation, and that map is presented here in a raster file. Most previous forest- and watershed-wide estimates of precipitation (and evapotranspiration, as inferred by a water balance) have assumed that precipitation increases consistently with elevation in the Luquillo Mountains; therefore, precipitation in leeward Luquillo watersheds has been overestimated by up to 40%.Because the Luquillo Mountains often serve as a wet tropical archetype in global assessments of basic ecohydrological processes, these revised estimates are relevant to regional and global assessments of runoff efficiency, hydrologic effects of reforestation, geomorphic processes, and climate change. \<para\> Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.\</para\>
NOAA's National Climatic Data Center including daily precipitation and USFS RDA datasets
This dataset was originally established as a subset of relevant NOAA daily precipitation data. This has been replaced with links to NOAA station websites which contain this data, please visit these links in the dataset file here. Previously, daily precipitation for 5 stations in or near the LEF were compiled from the NOAA National Climate Data Center and posted here. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
NADP/NTN precipitation chemistry data
This dataset links to the NADP data repository for the chemistry of weekly wet-only rainfall from the Luquillo Experimental Forest (LEF) NADP station (code PR20). Our station was knocked out by Hurricane Hugo in September 1989, and not reestablished until May 1991. The station remains in active service to the present and data from 1997 onwards is available directly from the NADP/NTN web site https://nadp.slh.wisc.edu/sites/ntn-PR20/. Samples are collected weekly on Tuesdays, field measurements of pH and conductivity are made, and the water sample is shipped to NADP for chemical analysis. Sub-samples are also shipped to the University of New Hampshire Water Quality Analysis lab and those data are available in the EDI dataset: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-luq&identifier=174 Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
Saddle catchment Distributed Hydrology Soil Vegetation Model Simulation (DHSVM) precipitation and transpiration variable outputs (precipitation, total, potential and actual evapotranspiration), 2 meter, 2000-2019.
The Saddle Catchment of the Niwot Ridge LTER is a densely observed, high elevation site that is ideal for hydrological model simulation and calibration. The files produced are the result of a calibration of the Distributed Hydrology Soil Vegetation model (DHSVM) using observationally based states and forcings. Input state files of vegetation, soil properties, shading, and elevation were generated using ground and satellite observations, which, in the case of coarse-resolution or point scale observations, were then interpolated to match the high resolution of the model (2-meter grid cells). Temporally continuous meteorological forcings at the hourly time-step were used to force the model to produce an hourly simulation of the surface and subsurface hydrology within the Saddle catchment. DHSVM was calibrated to effectively reproduce the annual cycle (r^2) and total volume (percent bias) of observed runoff using observations of streamflow at the outflow pour point of the Saddle Catchment from 2001-2019. Calibrated parameters include the lateral conductivity of soil types, exponential decrease of soil conductivity, snow roughness, the snow melting temperature threshold, and the vertical conductivity of the soils. The resulting simulation generated spatially distributed time series of the snow water equivalent, snow melt, precipitation, total evapotranspiration, potential evapotranspiration, and a time-series of the total runoff generated at the outflow pour-point of the Saddle catchment. This data package contains the spatially distributed time series of precipitation, total evapotranspiration and actual evapotranspiration Outputs of snow water equivalent, snow melt, and runoff, as well as the model configuration file, as well as model inputs are archived separately on the Environmental Data Initiative.
SBC LTER: Land: Hydrology: Precipitation at El Capitan at State Beach (EL201)
Precipitation was collected at El Capitan at State Beach in the Santa Barbara coastal area (site ID: EL201). A Tipping Bucket rain gauge from either Qualimetrics (Model 6011B) or Sutron (Model 5600-0425-2) was used. Data are reported hourly, and times reflect the end of the each 1-hour interval.
SBC LTER: Land: Hydrology: Precipitation at El Capitan at Upper Bill Wallace Trail (EL202)
Precipitation was collected at El Capitan at Upper Bill Wallace Trail in the Santa Barbara coastal area (site ID: EL202). A Tipping Bucket rain gauge from either Qualimetrics (Model 6011B) or Sutron (Model 5600-0425-2) was used. Data are reported hourly, and times reflect the end of the each 1-hour interval.
SBC LTER: Land: Hydrology: Precipitation at Gaviota at Hwy 101 N rest stop (GV201)
Precipitation was collected at Gaviota at Hwy 101 N rest stop in the Santa Barbara coastal area (site ID: GV201).A Tipping Bucket rain gauge from either Qualimetrics (Model 6011B) or Sutron (Model 5600-0425-2) was used.
SBC LTER: Land: Hydrology: Precipitation at Gaviota at Las Cruces School (GV202)
Precipitation was collected at Gaviota at Las Cruces School in the Santa Barbara coastal area (site ID: GV202). A Tipping Bucket rain gauge from either Qualimetrics (Model 6011B) or Sutron (Model 5600-0425-2) was used. Data are reported hourly, and times reflect the end of the each 1-hour interval.
SBC LTER: Land: Hydrology: Precipitation at Arroyo Hondo at East Avocado Orchard (HO201)
Precipitation was collected at Arroyo Hondo at East Avocado Orchard in the Santa Barbara coastal area (site ID: HO201). A Tipping Bucket rain gauge from either Qualimetrics (Model 6011B) or Sutron (Model 5600-0425-2) was used. Data are reported hourly, and times reflect the end of the each 1-hour interval.
SBC LTER: Land: Hydrology: Precipitation at Refugio at State Park (RG201)
Precipitation was collected at Refugio at State Park in the Santa Barbara coastal area (site ID: RG201). A Tipping Bucket rain gauge from either Qualimetrics (Model 6011B) or Sutron (Model 5600-0425-2) was used. Data are reported hourly, and times reflect the end of the each 1-hour interval.
SBC LTER: Land: Hydrology: Precipitation at Refugio at Lower Aguacitos Ranch (RG202)
Precipitation was collected at Refugio at Lower Aguacitos Ranch in the Santa Barbara coastal area (site ID: RG202). A Tipping Bucket rain gauge from either Qualimetrics (Model 6011B) or Sutron (Model 5600-0425-2) was used. Data are reported hourly, and times reflect the end of the each 1-hour interval.
SBC LTER: Land: Hydrology: Precipitation at Refugio at Upper Aguacitos Ranch (RG203)
Precipitation was collected at Refugio at Upper Aguacitos Ranch in the Santa Barbara coastal area (site ID: RG203). A Tipping Bucket rain gauge from either Qualimetrics (Model 6011B) or Sutron (Model 5600-0425-2) was used. Data are reported hourly, and times reflect the end of the each 1-hour interval.
SLOCLIM: A high-resolution daily gridded precipitation and temperature dataset for Slovenia
<p>SLOCLIM is a new high-resolution daily gridded precipitation and temperature dataset for Slovenia, covering the whole territory of Slovenia from 1950 to 2018. A grid of 1x1 km spatial resolution consists of 20,998 points for which daily maximum and minimum temperature and precipitation was calculated. The observed climatic information was provided by Slovenian Environment Agency (ARSO).</p>
Precipitation and Temperature Anomalies from MERRA-2 dataset
<p>Anomalies in Precipitation and Temperature for tiles around the globe.</p> <p>Data derived from the reanalysis MERRA-2 project [1]. The dataset covers the period from 1980 to 2018, between 80ºN and 80ºS. The spatial resolution is 1.0º x 1.0º resulting in 45,792 tiles and a time resolution of 7 days (by averaging the values over each week). Precipitation time-series were re-scaled by applying a logarithmic function to all values.</p> <p>To discount seasonality effects, we averaged temperature and precipitation values for each of the 365 calendar days. We considered the interval from 1 January 1980 through 28 February 2018 as the climatic period for which the long-term averages were computed. The anomalies are then obtained by subtracting for each day the respective average temperature or precipitation from the climatic period (for example, the 1 January 1998 anomaly is computed as the value for that day minus the average of all January 1 values between 1980 and 2018).</p> <p>To process the data, use the code available in:</p> <p><a href="https://github.com/filipinascimento/teleconnectionsgranger/">https://github.com/filipinascimento/teleconnectionsgranger/</a></p> <p><a href="http://arxiv.org/abs/2012.03848">http://arxiv.org/abs/2012.03848</a></p> <p>[1] A. Molod, L. Takacs, M. Suarez, and J. Bacmeister, “Development of the geos-5 atmospheric general circulation model: evolution from merra to merra2,” Geoscientific Model Development 8, 1339–1356 (2015).</p> <p> </p> <p> </p>
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