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182 results for “Hydrological Data”
Coupling a large-scale glacier and hydrological model (OGGM v1.5.3 and CWatM V1.08) - Data Set
<p>GENERAL INFORMATION</p> <p>The data and scripts used for the analysis of the paper "Coupling a large-scale glacier and hydrological model (OGGM v1.5.3 and CWatM V1.08) – Towards an improved representation of mountain water resources in global assessments"</p> <p><strong>When using this dataset, please refer to the original publication in addition to this Zenodo repository.</strong></p> <p><strong>Hanus, S., Schuster, L., Burek, P., Maussion, F., Wada, Y., and Viviroli, D.: Coupling a large-scale glacier and hydrological model (OGGM v1.5.3 and CWatM V1.08) – towards an improved representation of mountain water resources in global assessments, Geosci. Model Dev., 17, 5123–5144, https://doi.org/10.5194/gmd-17-5123-2024, 2024.</strong></p> <p>DATA & FILE OVERVIEW</p> <p>please have a look at readme.txt </p> <p>Don't hesitate to contact us in case of any questions (sarah.hanus@geo.uzh.ch)</p>
Data for Science Time Series: Deep Learning in Hydrology
<p>Processed CAMELS and Caravan data.</p>
Codes and data related to the article: Renard (2023). Use of a National Flood Mark Database to Estimate Flood Hazard in the Distant Past. Hydrological Sciences Journal.
<p>This package contains R codes and data related to the article:</p> <p>B. Renard. 2023. Use of a National Flood Mark Database to Estimate Flood Hazard in the Distant Past<em>. Hydrological Sciences Journal</em>. DOI: <a href="https://doi.org/10.1080/02626667.2023.2212165">10.1080/02626667.2023.2212165</a></p> <p><strong>CONTENTS</strong></p> <p>R scripts used to set up models, analyse results and prepare figures.</p> <ul> <li>France207_MAX.RData contain monthly maxima at 207 stations. See references below for the original sources.</li> <li>Folder data_raw/ contain exports from the flood marks database. See references below for the original sources.</li> <li>funk.R is a library of functions used by other scripts.</li> <li>0_setUp.R prepares the runs to estimate the model for one component. Estimation is performed using the RSTooDs package (<a href="https://zenodo.org/record/5075760">https://zenodo.org/record/5075760</a>). This script extracts the data, specifies the probabilitic models and write STooDs configuration files.</li> <li>1_margin.R analyses the runs that have been performed and estimates marginal distributions at each station. Note that the runs set up in the previous point need to have been performed before using this script.</li> <li>2_probMap.R computes estimated flood probabilities over the whole 1705-2015 period. The previous script needs to have been run before.</li> <li>3_sensitivityAnalysis.R prepares configuration files for sensitivity analysis experiments.</li> <li>4_ZenodoRelease.R prepares the released data and probability maps. The previous scripts needs to have been run before.</li> <li>Scripts named fig_XXX.R create the figures shown in the article.</li> </ul> <p><strong>REFERENCES</strong><br> Streamflow series at stations: <a href="https://www.hydro.eaufrance.fr/">https://www.hydro.eaufrance.fr/</a><br> developed by the "Service central d’hydrométéorologie et d’appui à la prévision des inondations" (Schapi) from the Ministry of the Ecological Transition</p> <p>Flood marks database: <a href="https://www.reperesdecrues.developpement-durable.gouv.fr/">https://www.reperesdecrues.developpement-durable.gouv.fr/</a><br> developed by the flood forecasting network "Vigicrues" from the Ministry of the Ecological Transition</p> <p> </p>
Data from: Integrated biomarker responses of the submerged macrophyte Vallisneria spiralis via hydrological processes from Lake Poyang, China
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Data from: Hydrologic controls on river network connectivity
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Data from: Plant water uptake along a diversity gradient provides evidence for complementarity in hydrological niches
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Data from: Hydrology, shore morphology and species traits affect seed dispersal, germination and community assembly in shoreline plant communities
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Data for: Seasonal acceleration of Petermann Glacier, Greenland, from changes in subglacial hydrology
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Monthly gridded Global Land Data Assimilation System (GLDAS) from Noah-v3.3 land hydrology model for GRACE and GRACE-FO over nominal months
The total land water storage anomalies are aggregated from the Global Land Data Assimilation System (GLDAS) NOAH model. GLDAS outputs land water content by using numerous land surface models and data assimilation. For more information on the GLDAS project and model outputs please visit https://ldas.gsfc.nasa.gov/gldas. The aggregated land water anomalies (sum of soil moisture, snow, canopy water) provided here can be used for comparison against and evaluations of the observations of Gravity Recovery and Climate Experiment (GRACE) and GRACE-FO over land. The monthly anomalies are computed over the same days during each month as GRACE and GRACE-FO data, and are provided on monthly 1 degree lat/lon grids in NetCDF format. Currently, the days included in these monthly anomaly computation are same as GRACE-FO monthly Level-2 RL06.3 JPL solutions.
Data from "Including Regional Knowledge Improves Baseflow Signature Predictions in Large Sample Hydrology"
<p>This repository contains data generated for the paper "Including Regional Knowledge Improves Baseflow Signature Predictions in Large Sample Hydrology". The file new_CAMELS_attributes.txt contains new catchment attributes for the CAMELS catchments.The file new_CAMELS_signatures.txt contains baseflow signatures for the CAMELS catchments. Details can be found in the readme.</p>
Data from: A web platform for landuse, climate, demography, hydrology and beach erosion in the Black Sea catchment
The Black Sea catchment (BSC) is facing important demographic, climatic and landuse changes that may increase pollution, vulnerability and scarcity of water resources, as well as beach erosion through sea level rise. Limited access to reliable time-series monitoring data from environmental, statistical, and socio-economical sources is a major barrier to policy development and decision-making. To address these issues, a web-based platform was developed to enable discovery and access to key environmental information for the region. This platform covers: landuse, climate, and demographic scenarios; hydrology and related water vulnerability and scarcity; as well as beach erosion. Each data set has been obtained with state-of-the-art modelling tools from available monitoring data using appropriate validation methods. These analyses were conducted using global and regional data sets. The data sets are intended for national to regional assessments, for instance for prioritizing environmental protection projects and investments. Together they form a unique set of information, which lay out future plausible change scenarios for the BSC, both for scientific and policy purposes.
Supplementary Data: Measured values of 13 flood events in the upper watershed of Qingshan Hydrological Station and their simulation results by two models
<p>The files in this record contain measured data of 13 flood events and simulated flood processes from the XAJ and CM-XAJ models considered for publication in Water Resources Research.</p><p> </p><p>The files consist of:</p><p> </p><p>Measured values for 13 flood events of Qingshan Hydrological Station;</p><p>Source code (incomplete) and results of the XAJ Model;</p><p>Source code (incomplete) and results of the CM-XAJ Model;</p><p>Source code of Genetic Algorithm with recourse model.</p>
Data from: Hierarchical multi-taxa models inform riparian vs. hydrologic restoration of urban streams in a permeable landscape
The degradation of streams caused by urbanization tends to follow predictable patterns; however, there is a growing appreciation for heterogeneity in stream response to urbanization due to the local geoclimatic context. Furthermore, there is building evidence that streams in mildly sloped, permeable landscapes respond uncharacteristically to urban stress calling for a more nuanced approach to restoration. We evaluated the relative influence of local-scale riparian characteristics and catchment-scale imperviousness on the macroinvertebrate assemblages of streams in the flat, permeable urban landscape of Perth, Western Australia. Using a hierarchical multi-taxa model, we predicted the outcomes of stylized stream restoration strategies to increase the riparian integrity at the local scale or decrease the influences of imperviousness at the catchment scale. In the urban streams of Perth, we show that local-scale riparian restoration can influence the structure of macroinvertebrate assemblages to a greater degree than managing the influences of catchment-scale imperviousness. We also observed an interaction between the effect of riparian integrity and imperviousness such that the effect of increased riparian integrity was enhanced at lower levels of catchment imperviousness. This study represents one of few conducted in flat, permeable landscapes and the first aimed at informing urban stream restoration in Perth, adding to the growing appreciation for heterogeneity of the Urban Stream Syndrome and its importance for urban stream restoration.
Kenguruji Arnes Hackathon 2024 - Hydrological Data
<p>Hydrological data for Kenguriji team at Arnes Hackathon 2024. The same data are also available in our repository at <a href="https://github.com/p1rko/ArnesHackathonKenguruji/tree/wip-models/dataset/hydro" target="_blank" rel="noopener"><code>dataset/hydro</code></a>.</p> <p>Included data:</p> <ul> <li>Raw hydrological data obtained from dr. Sašo Petan.</li> <li>Aggregated hourly hydrological data. Data were generated from the raw data with our script, available in the respository.</li> <li>Network graph of river gauges and distances between them. We hand-wrote the graph edges based on the map due to many factors, such as canals, side streams and the missing information about the direction of the rivers. Distances between gauges were calculated with our script, available in the respository.</li> </ul>
Glacio-hydrological changes along the Andes throughout the 21st Century: Data by glacier and catchment
<p>Results of the simulation analyzed in the article "Glacio-hydrological changes along the Andes throughout the 21st Century" submitted to review in the journal Scientific Reports. You can find other data such as the catchment outlines and their identifier (id) in https://doi.org/10.5281/zenodo.7890462, related to the article “Hydrological response of Andean catchments to recent glacier mass loss” https://doi.org/10.5194/tc-18-2487-2024.</p>
Hydrological data from the Dajiuhu basin, central eastern China, during the last deglaciation
<p>This is the original data used in the manuscript titled "Hydrological changes related to ENSO-like states during the last deglaciation in central eastern China" which has been accepted by Paleoceanography and Paleoclimatology. This excel includes calendar age, Rb/Sr, Zr/Rb, median grainsize and other data that used to evaluate hydrological changes in the Dajiuhu basin. </p>
Data from: Hierarchical multi-taxa models inform riparian vs. hydrologic restoration of urban streams in a permeable landscape
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Data from: A web platform for landuse, climate, demography, hydrology and beach erosion in the Black Sea catchment
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Hydrological and Isotopic data for Central European catchments
<p>-) monthly isotope values in precipitation and runoff for major Central European catchments</p> <p>-) monthly volumes of precipitation and runoff for major Central European catchments</p> <p>-) calculation results and uncertainties of annual fraction of young water estimates for Central European catchments</p> <p>-) the North-Atlantic Oscillation index, annual and monthly</p>
Winter field hydrological monitoring data for five artificially drained croplands in Eastern Canada.
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