A5069120451- Climate variability and models
- Fish Ecology and Management Studies
- Meteorological Phenomena and Simulations
- Hydrology and Drought Analysis
- Hydrological Forecasting Using AI
- Hydrology and Watershed Management Studies
- Species Distribution and Climate Change
- Historical and socio-economic studies of Spain and related regions
- Tropical and Extratropical Cyclones Research
- Regional resilience and development
- Climate change and permafrost
- Climate Change and Health Impacts
- Cryospheric studies and observations
- Water resources management and optimization
- Plant Pathogens and Fungal Diseases
- Global Health Care Issues
- Irrigation Practices and Water Management
- Fish biology, ecology, and behavior
- Forest Insect Ecology and Management
- Forecasting Techniques and Applications
- Environmental DNA in Biodiversity Studies
- Electric Power System Optimization
- Marine Bivalve and Aquaculture Studies
- Climate change impacts on agriculture
- Wildlife Ecology and Conservation
Climate Foundation
2020
Universidad Rey Juan Carlos
2018
VALUE is an open European collaboration to intercompare downscaling approaches for climate change research, focusing on different validation aspects (marginal, temporal, extremes, spatial, process‐based, etc.). Here we describe the participating methods and first results from experiment, using “perfect” reanalysis (and reanalysis‐driven regional model (RCM)) predictors assess intrinsic performance of precipitation temperatures over a set 86 stations representative main climatic regions in...
ABSTRACT The Mediterranean coast of Spain often experiences intense rainfall, sometimes reaching remarkable amounts more than 400 mm in one day. aim this work is to study possible changes extreme precipitation for century, simulated from several Coupled Model Intercomparison Project Phase 5 ( CMIP5 ) climate models. Eighteen projections (nine models under RCP4.5 and nine RCP8.5 scenarios) were downscaled using a two‐step analogue/regression statistical method. We have selected 144 rain...
Abstract This paper addresses the determination of realized thermal niche and effects climate change on range distribution two brown trout populations inhabiting streams in Duero River basin (Iberian Peninsula) at edge natural area this species. For reaching these goals, new methodological developments were applied to improve reliability forecasts. Water temperature data collected using 11 thermographs located along altitudinal gradient, they used model relationship between stream air river...
Abstract. Climate changes affect aquatic ecosystems by altering temperatures and precipitation patterns, the rear edges of distributions cold-water species are especially sensitive to these effects. The main goal this study was predict in detail how air temperature will streamflow, thermal habitat a fish (the brown trout, Salmo trutta), synergistic relationships among variables at edge natural distribution trout. Thirty-one sites 14 mountain rivers streams were studied central Spain. Models...
Dynamic Trees are a tree-based machine learning technique specially designed for online environments where data to be analyzed sequentially as they arrive. Our purpose is test this methodology the very first time Electricity Price Forecasting (EPF) by using from Iberian market. For benchmarking results, we will compare them against another technique, Random Forest, widely used method that has proven its good results in many fields. The benchmark includes several versions of approach short...
Diadromous species are particularly vulnerable to climate change because they utilize both marine and freshwater habitat complete their life cycles. Dispersal plays an important role in restraining the distribution of plant animal species, is a key mechanism allow diadromous adapt changes suitability, but it often not included models that explore population trends under scenarios. The objective this study was develop model estimate potential shifts populations Atlantic area Europe two...
Abstract Climate change effects on subdaily rainfall (from 5 min to a few hours) can hardly be measured in mid‐latitude climates due the high natural variability of precipitation patterns and their local topography. The goal this study was obtain projections intensity–duration–frequency (IDF) curves, for up 2‐h events, comparing two approaches that use daily outputs downscaled Coupled Model Intercomparison Project Phase (CMIP5) multi‐model projections: (a) direct scaling expected probable...
Climate change is gravely affecting forest ecosystems, resulting in large distribution shifts as well increasing infection diseases and biological invasions. Accordingly, management requires an evaluation of exposure to climate that should integrate both its abiotic biotic components. Here we address the implications emerging disease by analysing host species (Pinus pinaster, Maritime pine) pathogen's (Fusarium circinatum, pitch canker) environmental suitability i.e. estimating host's risk...
Abstract. Climate change affects aquatic ecosystems altering temperature and precipitation patterns, the rear edge of distribution cold-water species is especially sensitive to them. The main goal was predict in detail how air will affect streamflow, thermal habitat a fish (brown trout, Salmo trutta Linnaeus 1758), their synergistic relationships at its natural distribution. 31 sites 14 mountain rivers streams were studied Central Spain. Models several built using regression trees for...
Dynamical climate models present an initialization problem due to the poor availability of deep oceanic data, which is required for model assimilation process. In this sense, teleconnection indices, defined from spatial and temporal patterns climatic variables, are conceived as useful tools complement them. work, near-term predictability 35 temperature 36 precipitation time series three cities (Barcelona, Bristol Lisbon) was analysed using two approaches: (a) a statistical-dynamical...