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Data is managed by Tucson Department of Transportation Streets Maintenance Division.PurposeLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Dataset ClassificationLevel 0 - OpenKnown UsesLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Known ErrorsLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Data ContactLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Update FrequencyLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.

Overview The NOAA Global Monitoring Laboratory (GML), Radiation, Aerosols, and Cloud Division (G-RAD), in collaboration with the Cooperative Institute for Research in Environmental Sciences (CIRES) at the University of Colorado Boulder, conducted spectral surface albedo measurements at — Kettle Ponds (CKP) — as part of the NOAA Study of Precipitation, the Lower Atmosphere, and Surface for Hydrometeorology (SPLASH) campaign. Spectral albedo values were derived from combined upwelling and downwelling hemispheric irradiance measurements in seven narrow spectral bands centered at nominal wavelengths of 415, 500, 670, 870, 940, and 1625 nm. Downwelling irradiance was measured using an upward-facing Multifilter Rotating Shadowband Radiometer (MFRSR). Upwelling irradiance was measured using a downward-facing Multifilter Radiometer (MFR) mounted approximately 2 meters above ground level. Measurements were recorded at a 20-second interval. Due to the sequential nature of MFRSR observations — which reconstruct downwelling irradiance from irradiances during various shadowband positions — each timestamp represents neither a purely instantaneous nor a time-averaged measurement. The full measurement cycle is completed within eight seconds prior to each reported timestamp. Calibration Approach Instrument responsivity calibrations were performed using: Laboratory lamp calibrations for the MFRSR (downwelling) In-field side-by-side calibration for the MFR (upwelling) Relative calibration between the MFR and MFRSR reduced propagated uncertainty in the albedo product. Surface albedo was computed as the simple ratio of the calibrated upwelling to downwelling irradiance at each wavelength. Note: The NOAA/GML/GRAD calibration facility does not currently support absolute responsivity calibration at 1625 nm. Consequently, irradiance values at this wavelength carry an unknown scaling factor. However, a side-by-side calibration was performed, enabling valid and consistent albedo retrievals at 1625 nm. Data Quality Considerations (notes on both locations) During winter, both instruments were occasionally buried in snow when snow depths exceeded their 2-meter installation height. These periods — more frequent at CKP than CBC (Brush Creek) — were not removed from the dataset and may be associated with degraded data quality. Users should exercise caution when analyzing data from winter periods, particularly at CKP, due to potential signal degradation caused by snow coverage over the instruments. Data from the CKP site are affected by several quality issues, particularly prior to 2022-11-03. These include intermittent data loss, occasional jumps in the MFRSR signal at 670 nm, and oscillations in the MFR signal, most notably at 1625 nm. While much of the data remains usable, users are advised to apply increased scrutiny when using CKP observations before 2022-11-03. Data quality improved significantly after 2022-11-03. Data Availability Spectral surface albedo data are available for the following date ranges: CKP: 2021-12-20 through 2023-08-15 File Naming Convention Files are named as follows: ...nc Example: ckp.spectral_surface_albedo.20230623.nc ckp – Site identifier spectral_surface_albedo – Data product descriptor 20230623 – Data collection date (YYYYMMDD) File Format All files are in NetCDF format and conform to the CF-1.8 standard. Each file includes the following key variables: surface_albedo — Spectral surface albedo derived from the ratio of upwelling and downwelling irradiance. Unit: 1. downwelling_hemispheric_irradiance — Global downwelling irradiance from MFRSR. Unit: W m-2 nm-1. upwelling_hemispheric_irradiance — Upwelling irradiance from MFR. Unit: W m-2 nm-1. downwelling_hemispheric_irradiance_1625nm — Relative downwelling irradiance at 1625 nm. Unit: 1. upwelling_hemispheric_irradiance_1625nm — Relative upwelling irradiance at 1625 nm. Unit: 1. solar_zenith_angle — Solar zenith angle in degrees. solar_azimuth_angle — Solar azimuth angle in degrees. channel_wavelength_mfr — MFR channel central wavelengths in nanometers. channel_wavelength_mfrsr — MFRSR channel central wavelengths in nanometers.

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From fall 2021 through summer 2023, NOAA and research partners participated in the Study of Precipitation, the Lower Atmosphere and Surface for Hydrometeorology (SPLASH). This field study installed a comprehensive, state-of-the-art observing network in the East River watershed of the Colorado mountains with a goal of advancing weather and water prediction capabilities in areas with complex terrain. This dataset contains uncrewed aircraft systems (UAS) high-resolution data of soil moisture at the 0-5 cm soil depth, normalized difference vegetation index (NDVI), surface temperature, and digital elevation collected during the SPLASH campaign. These data were collected near Avery Picnic and Kettle Ponds in the East River Watershed in Colorado from a series of flights starting on June 1st, 2022 and ending October 18th, 2023.

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This dataset contains the predicted prices of the asset SPLASH over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

These files contain 24-hour periods of data collected from the CLAMPS2 Halo Streamline XR+ Doppler lidar. While not conducting other scans, the lidar directs the beam to zenith, allowing for the measurement of vertical velocity. These data were collected during the SPLASH project. Data collection and processing: For the SPLASH campaign, the CLAMPS2 Doppler lidar collected PPI scans at 60 deg elevation every 5 minutes. The Doppler lidar provides range-resolved, line-of-sight measurements of radial velocity, intensity (signal-to-noise ratio [SNR]+1), and attenuated backscatter. This measurement of vertical velocity is much more direct and high quality than that provided with the VAD scan files. The provided files provide the intensity field (SNR+1), which can be used as a ‘filter’ for noise. A good rule of thumb cutoff is 1.01. Data format: Data are provided in netcdf format. The typical naming convention is clampsdlfpC2.c1.YYYYMMDD.HHmmss.cdf, following closely to ARM file naming convention. The files have time and height dimensions.

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These files contain Surface Energy Balance data at the Kettle Ponds (CKP) site as part of NOAA’s Global Monitoring Laboratory’s deployment in the Sail-SPLASH Campaign between October 2021 through August 2023.

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This dataset contains the predicted prices of the asset Based Splash over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

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This dataset contains the predicted prices of the asset SPLASH AI over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

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