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4 results for “weather information”
Measurements from CalCOFI cruises in the California Current System, including log of station information, weather, sea conditions as well as physical, chemical and biological measurements including including temperature, salinity, oxygen, density, sigma theta, phosphate, silicate, nitrite, nitrate, ammonia, chlorophyll a, integrated chlorophyll a, primary productivity, and integrated primary production. 1949 - January 2020
Since 1949, hydrographic and biological data of the California Current System have been collected on quarterly CalCOFI cruises. The 59+ year hydrographic time-series includes weather, temperature, salinity, oxygen and phosphate observations. In 1961, nutrient analysis expanded to include silicate, nitrate and nitrite; in 1973, chlorophyll was added; in 1984, C14 primary productivity incubations were added. These data are being provided here in collaboration with CalCOFI-SIO in order to provide an additional queriable interface to the data. The data are updated on a regular basis from the CalCOFI hydrographic database.
IWIN: The Isfjorden Weather Information Network (August 2021 - June 2023)
<p>The Isfjorden Weather Information Network provides standard meteorological near-surface measurements from the Isfjorden region in Svalbard. The network includes weather stations permanently installed on lighthouses around the fjord and onboard small tourist cruise ships trafficking the fjord from the spring to the autumn. A defined (fixed-end) data set covering the period August 2021 - June 2023 is available here, while new observations become available in near real-time via the data portals of MET Norway (https://doi.org/10.21343/ebrw-w846; https://thredds.met.no/thredds/unis-obs/unis-obs.html).</p>
Dataset of 'Physics-informed neural networks for high-resolution weather reconstruction from sparse weather stations'
<p>Dataset of the article 'Physics-informed neural networks for high-resolution weather reconstruction from sparse weather stations', recently published in Open Research Europe (DOI 10.12688/openreseurope.17388.1). The code which implements the physics-informed neural network can be found at https://github.com/AlvaroMS90/PINNs-for-high-resolution-weather-reconstruction-from-sparse-weather-stations.</p> <p>Funded by the European Union under action HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships, call HORIZON-MSCA-2021-PF-01 (project number 101059984 with acronym PERSEVERE). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.</p> <pre> </pre>
Supporting Information: DATA and CODE. Contrasted impacts of weather conditions in species sensitive to both survival and fecundity: a montane bird case study.
<p>This folder contains the R code (file “Rock_partridge_IPM.r “) of the integrated population model (IPM) used to study the population dynamics of the rock partridge in the French Alps, along with associated data (file “jags.data”). The integrated population model allowed us to model survival and breeding success (split in several steps) simultaneously. Data were collected by the French Office for Biodiversity (OFB) and the Observatory of mountain galliformes (OGM: <a href="https://www.observatoire-galliformes-montagne.com/">https://www.observatoire-galliformes-montagne.com/</a>). The “Read.me” file provides a detailed description of the different datasets. We also included values of the covariates used to study the influence of weather variation on survival and breeding success (files “covariates_survival”, “covariates_brood_size” and “covariates_brood_size_per_site”).</p>
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