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Dataset results
5 results for “variogram”
Northern Cameroon daily interpolated rainfall, 1948-2022, obtained via ordinary kriging using Spherical variogram models
<p><strong>Description:</strong> This dataset provides daily interpolated rainfall maps for Northern Cameroon, including North and Extreme North provinces, for the period 1948-2022, at 0.01° resolution, derived from daily rain gauge data observations.</p> <p><strong>Dataset Preparation Methods:</strong> These maps were obtained by performing interpolation from daily rain gauge data (<a href="../doi/10.5281/zenodo.10156437">NoCORA - Northern Cameroon Observed Rainfall Archive</a> dataset) , using ordinary kriging with fitting of <strong>Spherical</strong> variogram models. Resolution of interpolation is 0.01°. The daily results were assembled into daily geotiff files.</p> <p><strong>Funding:</strong> This project was funded by the DESIRA INNOVACC project.</p> <p><strong>Authors Contributions:</strong></p> <ul> <li>Data treatment: Clara Knops.</li> <li>Documentation: Jérémy Lavarenne, Clara Knops.</li> </ul> <p><strong>Changelog:</strong> </p> <ul> <li>v1.0.0 : initial submission</li> </ul>
Supporting Information for "How long is too long? Variogram analysis of AERONET data to aid aerosol validation and intercomparison studies"
<p>This contains data sets and their description for the paper "How long is too long? Variogram analysis of AERONET data to aid aerosol validation and intercomparison studies" submitted to the journal Earth and Space Science by this author. This study investigates the uncertainty introduced into comparisons (between e.g. AERONET ground observations, satellite retrievals, or model simulations) of aerosol optical properties due to differences in time of observation between the data sets. This uncertainty source has historically been neglected but is potentially important in some situations.</p> <p> </p> <p>Journal policies are that Supporting Information data sets can no longer be archived with the paper, but instead should be uploaded to a separate repository. As a result, I have uploaded these data here.</p> <p> </p> <p>This data set consists of one pdf file describing the data sets, and then two zip archives containing the data (ASCII format). The total size is approximately 10 MB. These data files allow the reproduction of analysis results in this paper, and enable researchers to estimate temporal mismatch uncertainties in their own analyses involving AERONET sites.</p>
Northern Cameroon daily interpolated rainfall, 1948-2022, obtained via ordinary kriging using Circular variogram models
<p><strong>Description:</strong> This dataset provides daily interpolated rainfall maps for Northern Cameroon, including North and Extreme North provinces, for the period 1948-2022, at 0.01° resolution, derived from daily rain gauge data observations.</p> <p><strong>Dataset Preparation Methods:</strong> These maps were obtained by performing interpolation from daily rain gauge data (<a href="../doi/10.5281/zenodo.10156437">NoCORA - Northern Cameroon Observed Rainfall Archive</a> dataset) , using ordinary kriging with fitting of Circular variogram models. Resolution of interpolation is 0.01°. The daily results were assembled into daily geotiff files.</p> <p><strong>Funding:</strong> This project was funded by the DESIRA INNOVACC project.</p> <p><strong>Authors Contributions:</strong></p> <ul> <li>Data treatment: Clara Knops.</li> <li>Documentation: Jérémy Lavarenne, Clara Knops.</li> </ul> <p><strong>Changelog:</strong> </p> <ul> <li>v1.0.0 : initial submission</li> </ul>
Subsurface variogram data
<p>This is a data set that contains world-wide estimates of variogram of covariancve functions for aquifer and soil sites. </p>
Data from: Multi-level patterns in population genetics: variogram series detects a hidden isolation-by- distance- dominated structure of Scandinavian brown bears Ursus arctos
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