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Data for: The vulnerability of lakes along an altitudinal gradient to climate changeSource

In the framework of Ch2018, climate simulations were done in twenty-nine Swiss lakes, with three climate scenarios, and seventeen climate models from the start of 1981 to end of 2099. Lake variables in this dataset (temperature, stratification, ice cover) was obtain with the physical deterministic lake model Simstrat (v. 2.1.2).

0
No licence known
Tags:
Ch2018Climate changeSwiss lakesaltitudeice coverstratificationtemperature
Formats:
ZIPtext/markdown
Swiss Federal Institute of Aquatic Science and Technology (Eawag)about 1 year ago
Reynolds Creek Experimental Watershed, Idaho (Snow)

Snow is the dominant form of precipitation in the Reynolds Creek Experimental Watershed (RCEW). Seven snow course sites were established in 1961, and one additional site was added in 1970. All sites are located in the high-elevation southern extent of the basin, where snow accumulation is greatest. Snow water equivalent (SWE) and depth have been sampled at multiple locations in RCEW since 1961. These data have been collected using snow tube methods that are generally considered the standard for manual measurement of SWE and snow depth. Snow water equivalent (SWE) has been measured at eight locations in RCEW every 2 weeks throughout the snow season (December 1 to June 1) for 35 water years (1962-1996). SWE was continuously monitored at site 176x07 using a snow pillow for 14 water years (1983-1996).

0
No licence known
Tags:
NP211NP215altitudebasinssnowstreamswatersheds
Formats:
ZIP
United States Department of Agriculture10 months ago
Southern Great Plains 1997 (SGP97) Model: Eta Model Location Time Series (MOLTS) Derived Soundings

The Eta Model Location Time Series is one of the model output datasets provided in the Southern Great Plains - 1997 (SGP97). The full Eta MOLTS dataset covers most of North America east of the Rocky Mountains (up to 574 locations). MOLTS are hourly time series output at selected locations that contain values for various surface parameters and ‘sounding’ profiles at Eta model levels, and are derived from the Eta model output. The MOLTS output files were converted into Joint Office for Science Support (JOSS) Quality Control Format (QCF), the same format used for atmospheric rawinsonde soundings processed by JOSS. The MOLTS output provided by JOSS on-line includes only the initial analysis output (i.e. no forecast MOLTS) and only state parameters (pressure, temperature, humidity, and wind). The full output, including the forecast MOLTS and all output parameters, in its original format (Binary Universal Form for the Representation of meteorological data, or BUFR) is available from the National Center for Atmospheric Research (NCAR)/Scientific Computing Division. The National Centers for Environmental Prediction (NCEP) began operations for the Eta model in June 1993 with a resolution of 80 km and 38 levels; the top level was 50 mb. In late 1994, the domain of the Eta model was increased and the resolution became 48 km with 38 levels. The Eta analysis and forecast fields are generated every 12 hours at 0000 and 1200 UTC daily. MOLTS are hourly vertical profile and surface time series derived from the Eta model output. The complete MOLTS output includes a changable number of informational items, parameters for each level, and parameters at the surface. Output are available each hour beginning at the initial analysis (the only output available from JOSS) and ending at the 48 hour forecast. JOSS converts the raw format files into JOSS QCF format which is the same format used for atmospheric sounding data such as National Weather Service (NWS) soundings. JOSS calculated the total wind speed and direction from the u and v wind components. JOSS calculated the mixing ratio from the specific humidity (Pruppacher and Klett 1980) and the dew point from the mixing ratio (Wallace and Hobbs 1977). Then the relative humidity was calculated from the dew point (Bolton 1980). The altitude was not one of the available output parameters from the Eta MOLTS. JOSS did not conduct any quality control on this output. The header records (15 total records) contain output type, project ID, the location of the nearest station to the MOLTS location (this can be a rawinsonde station, an Atmospheric Radiation Measurement (ARM)/Cloud and Radiation Testbed (CART) station, a wind profiler station, a surface station, or just the nearest town), the location of the MOLTS output, and the valid time for the MOLTS output. The five header lines contain information identifying the sounding, and have a rigidly defined form. The following 6 header lines are used for auxiliary information and comments about the sounding, and they vary significantly from dataset to dataset. The last 3 header records contain header information for the data columns. Line 13 holds the field names, line 14 the field units, and line 15 contains dashes ('-' characters) delineating the extent of the field.

0
No licence known
Tags:
AgricultureSoilSoil Moisturealtitudeatmospheric pressuredew point temperaturehumiditysurface air temperaturewind directionwind speed
Formats:
HTML
United States Department of Agriculture10 months ago
Southern Great Plains 1997 (SGP97) Model: MAPS Model Location Time Series (MOLTS) Derived Soundings

The MAPS Model Location Time Series (MOLTS) is one of the model output datasets provided in the Southern Great Plains - 1997 (SGP97). The full MAPS MOLTS dataset covers most of North America east of the Rocky Mountains (283 locations). MOLTS are hourly time series output at selected locations that contain values for various surface parameters and ‘sounding' profiles at MAPS model levels and are derived from the MAPS model output. The MOLTS output files were converted into Joint Office for Science Support (JOSS) Quality Control Format (QCF), the same format used for atmospheric rawinsonde soundings processed by JOSS. The MOLTS output provided by JOSS online includes only the initial analysis output (i.e. no forecast MOLTS) and only state parameters (pressure, altitude, temperature, humidity, and wind). The full output, including the forecast MOLTS and all output parameters, in its original format (Binary Universal Form for the Representation of meteorological data, or BUFR) is available from the National Center for Atmospheric Research (NCAR)/Scientific Computing Division. The Forecast Systems Laboratory (FSL) operates the MAPS model with a resolution of 40 km and 40 vertical levels. The MAPS analysis and forecast fields are generated every 3 hours at 0000, 0300, 0600, 0900, 1200, 1500, 1800, and 2100 UTC daily. MOLTS are hourly vertical profile and surface time series derived from the MAPS model output. The complete MOLTS output includes six informational items, 16 parameters for each level and 27 parameters at the surface. Output are available each hour beginning at the initial analysis (the only output available from JOSS) and ending at the 48 hour forecast. JOSS converts the raw format files into JOSS QCF format which is the same format used for atmospheric sounding data such as National Weather Service (NWS) soundings. JOSS calculated the total wind speed and direction from the u and v wind components. JOSS calculated the mixing ratio from the specific humidity (Pruppacher and Klett 1980) and the dew point from the mixing ratio (Wallace and Hobbs 1977). Then the relative humidity was calculated from the dew point (Bolton 1980). JOSS did not conduct any quality control on this output. The header records (15 total records) contain output type, project ID, the location of the nearest station to the MOLTS location (this can be a rawinsonde station, an Atmospheric Radiation Measurement (ARM)/Cloud and Radiation Testbed (CART) station, a wind profiler station, a surface station, or just the nearest town), the location of the MOLTS output, and the valid time for the MOLTS output. The five header lines contain information identifying the sounding, and have a rigidly defined form. The following 6 header lines are used for auxiliary information and comments about the sounding, and they vary significantly from dataset to dataset. The last 3 header records contain header information for the data columns. Line 13 holds the field names, line 14 the field units, and line 15 contains dashes ('-' characters) delineating the extent of the field.

0
No licence known
Tags:
AgricultureSoil Moisturealtitudeatmospheric pressuredew point temperaturehumiditysurface air temperaturewind directionwind speed
Formats:
HTML
United States Department of Agriculture10 months ago
Water Level Data (Rivers and Lakes) - Copernicus Global Land Service

The Water Level is defined as the height, in meters above the geoid, of the reflecting surface of continental water bodies. It is observed by space radar altimeters that measure the time it takes for radar pulses to reach the ground targets, directly below the spacecraft (nadir position), and return. Hence, only water bodies located along the satellite's ground tracks can be monitored, with a quality of measurement that not only depends of the size of the water body, but also on the reflecting targets in its surroundings such as topography or vegetation. Water Level is computed as time series: over lakes ; over rivers, at the intersections of the river network with the satellite ground tracks, so-called Virtual Stations. The Water Level of lakes is recognized as an Essential Climate Variable (ECV) by the Global Climate Observing System (GCOS).

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Other (Open)
Tags:
altitudelakeriverssatellitesurface waterwater levels
Formats:
European Commissionover 1 year ago