| publications-1521 |
PEER REVIEWED ARTICLE |
2016 |
Nikolaos Hatzianastassiou , Christos D. Papadimas , Christos J. Lolis , Aristides Bartzokas , Vincenzo Levizzani , John D. Pnevmatikos , Basil D. Kats |
Spatial and temporal variability of precipitation over the Mediterranean Basin based on 32-year satellite Global Precipitation Climatology Project data, part I: evaluation and climatological patterns |
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10.1002/joc.4666 |
Data Management & Analytics |
Uncategorized |
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ABSTRACTThe precipitation regime over the Mediterranean basin is investigated for the period 1979–2010 using monthly mean satellite data from the Global Precipitation Climatology Project (GPCPv2). The results show that a clear contrast exists between the more rainy northern part of the study region (Southern Europe) and the drier southern area (North Africa, Iberian Peninsula) and between the western sides (rainsides) of the Iberian, Italian and Balkan peninsulas and their eastern sides (rainshadows). The mean annual precipitation averaged over the study area is P = 593 ± 203 mm year−1, but it has a strong spatial variability ranging from 20 mm year−1 (North Africa) to 1500 mm year−1 (Alps). A significant seasonal variability exists, with the early winter and late autumn months (November and December) being the wettest with precipitation amounts larger than 60 mm month−1. The GPCPv2 satellite precipitation data are satisfactorily correlated with rain gauge measurements from 433 stations within the study area (correlation coefficient R = 0.78 for all stations on a yearly basis, with values ranging between 0.72 and 0.82, depending on the season) with a slight overestimation. They also compare well with the higher spatial and temporal resolution Tropical Rainfall Measuring Mission (TRMM) data, which supports the validity of the present study. |
603608 |
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| publications-1522 |
PEER REVIEWED ARTICLE |
2016 |
Nikolaos Hatzianastassiou , Christos D. Papadimas , Christos J. Lolis , Aristides Bartzokas , Vincenzo Levizzani , John D. Pnevmatikos , Basil D. Kats |
Spatial and temporal variability of precipitation over the Mediterranean Basin based on 32-year satellite Global Precipitation Climatology Project data. Part-II: inter-annual variability and trends |
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10.1002/joc.4665 |
Simulation & Modeling |
Precipitation & Ecological Systems |
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ABSTRACTMonthly mean satellite data from the Global Precipitation Climatology Project (GPCPv2) are used to examine the year‐by‐year variability of precipitation over the Mediterranean Basin and its changes over the period 1979–2010. The results show that the mean annual precipitation averaged over the study area has slightly increased from 1979 to 2010 by 1.28 mm or by 0.2% (trend not statistically significant at the 95% confidence level). Nevertheless, examining the trends at a local scale, spatial and temporal patterns are revealed, with opposite trends in adjacent areas and increasing precipitation in summer and autumn against almost unchanged or decreasing precipitation in winter and spring, respectively. Inter‐decadal changes of precipitation are detected, with precipitation decreasing in the 1980s, then increasing through the late 1990s and finally declining in the 2000s before levelling off since 2007. These changes are significantly anti‐correlated (R = −0.57, up to −0.66 in winter) with the North Atlantic Oscillation (NAO) index, thus confirming the critical role of this large‐scale teleconnection for the regional precipitation over the basin. |
603608 |
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| publications-1523 |
PEER REVIEWED ARTICLE |
2016 |
J. Kolassa , P. Gentine , C. Prigent , F. Aires |
Soil moisture retrieval from AMSR-E and ASCAT microwave observation synergy. Part 1: Satellite data analysis |
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10.1016/j.rse.2015.11.011 |
Data Management & Analytics |
Precipitation & Ecological Systems |
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No abstract available |
603608 |
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| publications-1524 |
PEER REVIEWED ARTICLE |
2016 |
P. Laiolo , S. Gabellani , L. Campo , F. Silvestro , F. Delogu , R. Rudari , L. Pulvirenti , G. Boni , F. Fascetti , N. Pierdicca , R. Crapolicchio , |
Impact of different satellite soil moisture products on the predictions of a continuous distributed hydrological model |
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10.1016/j.jag.2015.06.002 |
Data Management & Analytics |
Precipitation & Ecological Systems |
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No abstract available |
603608 |
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| publications-1525 |
PEER REVIEWED ARTICLE |
2016 |
Rene Orth , Emanuel Dutra , Florian Pappenberger |
Improving Weather Predictability by Including Land Surface Model Parameter Uncertainty |
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10.1175/mwr-d-15-0283.1 |
Data Management & Analytics |
Uncategorized |
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AbstractThe land surface forms an important component of Earth system models and interacts nonlinearly with other parts such as ocean and atmosphere. To capture the complex and heterogeneous hydrology of the land surface, land surface models include a large number of parameters impacting the coupling to other components of the Earth system model.Focusing on ECMWF’s land surface model Hydrology Tiled ECMWF Scheme of Surface Exchanges over Land (HTESSEL), the authors present in this study a comprehensive parameter sensitivity evaluation using multiple observational datasets in Europe. The authors select six poorly constrained effective parameters (surface runoff effective depth, skin conductivity, minimum stomatal resistance, maximum interception, soil moisture stress function shape, and total soil depth) and explore their sensitivity to model outputs such as soil moisture, evapotranspiration, and runoff using uncoupled simulations and coupled seasonal forecasts. Additionally, the authors investigate the possibility to construct ensembles from the multiple land surface parameters.In the uncoupled runs the authors find that minimum stomatal resistance and total soil depth have the most influence on model performance. Forecast skill scores are moreover sensitive to the same parameters as HTESSEL performance in the uncoupled analysis. The authors demonstrate the robustness of these findings by comparing multiple best-performing parameter sets and multiple randomly chosen parameter sets. The authors find better temperature and precipitation forecast skill with the best-performing parameter perturbations demonstrating representativeness of model performance across uncoupled (and hence less computationally demanding) and coupled settings.Finally, the authors construct ensemble forecasts from ensemble members derived with different best-performing parameterizations of HTESSEL. This incorporation of parameter uncertainty in the ensemble generation yields an increase in forecast skill, even beyond the skill of the default system. |
603608 |
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| publications-1526 |
PEER REVIEWED ARTICLE |
2016 |
Giulia Panegrossi , Daniele Casella , Stefano Dietrich , Anna Cinzia Marra , Paolo Sano , Alberto Mugnai , Luca Baldini , Nicoletta Roberto , Elisa Ad |
Use of the GPM Constellation for Monitoring Heavy Precipitation Events Over the Mediterranean Region |
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10.1109/jstars.2016.2520660 |
AI & Machine Learning |
Precipitation & Ecological Systems |
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No abstract available |
603608 |
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| publications-1527 |
PEER REVIEWED ARTICLE |
2016 |
Jan Polcher , Maria Piles , Emiliano Gelati , Anaïs Barella-Ortiz , Marivi Tello |
Comparing surface-soil moisture from the SMOS mission and the ORCHIDEE land-surface model over the Iberian Peninsula |
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10.1016/j.rse.2015.12.004 |
Data Management & Analytics |
River Basins |
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No abstract available |
603608 |
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| publications-1528 |
PEER REVIEWED ARTICLE |
2016 |
T I E Veldkamp , Y Wada , J C J H Aerts , P J Ward |
Towards a global water scarcity risk assessment framework: incorporation of probability distributions and hydro-climatic variability |
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10.1088/1748-9326/11/2/024006 |
Data Management & Analytics |
Groundwater |
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No abstract available |
603608 |
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| publications-1529 |
PEER REVIEWED ARTICLE |
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Wouter A. Dorigo and Richard A.M. de Jeu (editors) |
Advances in the Validation and Application of Remotely Sensed Soil Moisture - Part 1 (Special Issue) |
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Data Management & Analytics |
Precipitation & Ecological Systems |
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No abstract available |
603608 |
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| publications-1530 |
PEER REVIEWED ARTICLE |
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Wouter A. Dorigo and Richard A.M. de Jeu (editors) |
Advances in the Validation and Application of Remotely Sensed Soil Moisture – Part 2 (Special Issue) |
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Uncategorized |
Uncategorized |
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No abstract available |
603608 |
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