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Nasrin Alamdari, David J. Sample, Peter Steinberg, Andrew C. Ross, Zachary M. Easton
Pág. 1 - 24
Assessing climate change (CC) impacts on urban watersheds is difficult due to differences in model spatial and temporal scales, making prediction of hydrologic restoration a challenge. A methodology was developed using an autocalibration tool to calibrat...
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J. E. OSPINA NOREÑA,C. GAY GARCÍA,A. C. CONDE,V. O. MAGAÑA RUEDA,G. SÁNCHEZ TORRES ESQUEDA
This work identifies some of the climate-hydrological variables that best express the vulnerability of hydrological resources at watershed level (Sinú-Caribbean Basin, Colombia). The analysis utilizes the outputs of some general circulation models ru...
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Sabrina De Nardi, Claudio Carnevale, Sara Raccagni and Lucia Sangiorgi
Models are a core element in performing local estimation of the climate change input. In this work, a novel approach to perform a fast downscaling of global temperature anomalies on a regional level is presented. The approach is based on a set of data-dr...
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Teerachai Amnuaylojaroen
Southeast Asia (SEA), known for its diverse climate and broad coastal regions, is particularly vulnerable to the effects of climate change. The purpose of this study is to enhance the spatial resolution of temperature projections over Southeast Asia (SEA...
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Felix P. Martinez-García, Antonio Contreras-de-Villar and Juan J. Muñoz-Perez
Wind forecasts are widely spread because of the growth in wind power, but also because there are other applications to consider, such as the long-term scenario forecasts regarding the effects of global warming. Overall, there have been big developments i...
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Getnet Feyissa, Gete Zeleke, Woldeamlak Bewket and Ephrem Gebremariam
One of the recent advances in climate science research is the development of global general circulation models (GCMs) to simulate changes in climatic elements of the present and future, which helps us to determine consequences earlier and prepare for nec...
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Leonard M. Druyan and Matthew Fulakeza
A prequel study showed that dynamic downscaling using a regional climate model (RCM) over Africa improved the Goddard Institute for Space Studies Atmosphere-Ocean Global Climate Model (GISS AOGCM: ModelE) simulation of June–September rainfall patte...
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Yassine Charabi,Sultan Al-Yahyai
Pág. 261 - 269
This paper evaluates the use of ensemble numerical weather prediction (NWP) models for dynamical downscaling of temperature over a complex, hot region. This approach delivers information about the uncertainty of the NWP models and provides probabilistic ...
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FRANCISCO ESTRADA,VÍCTOR M. GUERRERO
Pág. 429 - 449
This paper proposes a new methodology for generating climate change scenarios at the local scale based on multivariate time series models and restricted forecasting techniques. This methodology offers considerable advantages over the current statistical ...
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Dirk Lauwaet, Hans Hooyberghs, Bino Maiheu, Wouter Lefebvre, Guy Driesen, Stijn Van Looy and Koen De Ridder
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Jonas Olsson, Lars Gidhagen, Valentin Gamerith, Günter Gruber, Holger Hoppe and Peter Kutschera
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Sirikanya Cheevaprasert, Rajeshwar Mehrotra, Sansarith Thianpopirug and Nutchanart Sriwongsitanon
This study presents an exhaustive evaluation of the performance of three statistical downscaling techniques for generating daily rainfall occurrences at 22 rainfall stations in the upper Ping river basin (UPRB), Thailand. The three downscaling techniques...
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Gabriele Accarino, Marco Chiarelli, Francesco Immorlano, Valeria Aloisi, Andrea Gatto and Giovanni Aloisio
One of the most important open challenges in climate science is downscaling. It is a procedure that allows making predictions at local scales, starting from climatic field information available at large scale. Recent advances in deep learning provide new...
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Manuel García-León, Marcos G. Sotillo, Marc Mestres, Manuel Espino and Enrique Álvarez Fanjul
The Puertos del Estado SAMOA coastal and port ocean forecast service delivers operational ocean forecasts to the Spanish Port Authorities since 01/2017 (originally set-up for 9 ports). In its second development phase (2019?2021), the SAMOA service has be...
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Wendso Awa Agathe Ouédraogo, John Mwangi Gathenya and James Messo Raude
Each year, many African countries experience natural hazards such as floods and, because of their low adaptative capabilities, they hardly have the means to face the consequences, and therefore suffer huge economic losses. Extreme rainfall plays a key ro...
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Min Luo, Tie Liu, Fanhao Meng, Yongchao Duan, Amaury Frankl, Anming Bao and Philippe De Maeyer
The systemic biases of Regional Climate Models (RCMs) impede their application in regional hydrological climate-change effects analysis and lead to errors. As a consequence, bias correction has become a necessary prerequisite for the study of climate cha...
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Asim Jahangir Khan and Manfred Koch
This study focusses on identifying a set of representative climate model projections for the Upper Indus Basin (UIB). Although a large number of General Circulation Models (GCM) predictor sets are available nowadays in the CMIP5 archive, the issue of the...
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Valentina Vannucchi, Stefano Taddei, Valerio Capecchi, Michele Bendoni and Carlo Brandini
A 29-year wind/wave hindcast is produced over the Mediterranean Sea for the period 1990?2018. The dataset is obtained by downscaling the ERA5 global atmospheric reanalyses, which provide the initial and boundary conditions for a numerical chain based on ...
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Soroush Zarghami Dastjerdi, Ehsan Sharifi, Rozita Rahbar and Bahram Saghafian
Climate change, urbanization, and a growing population have led to a rapid increase in groundwater (GW) use. As a result, monitoring groundwater changes is essential for water managers and decision-makers. Due to the lack of reliable and insufficient in ...
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Jiahao Li, Lingli Fan, Xuzhe Chen, Chunqiao Lin, Luchi Song and Jianjun Xu
Analyzing and forecasting the Indian Summer Monsoon Rainfall (ISMR) is vital for South Asia?s socio-economic stability. Using 35 climate models from the latest generation of the Coupled Model Intercomparison Project (CMIP6) to simulate and project ISMR, ...
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