M. Carmen Casas Castillo

Dr. M. Carmen Casas Castillo

Universitat Politècnica de Catalunya, Barcelona, Catalonia, Spain
orcid

Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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6 May 2013 in International Journal of Climatology
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Journal Article
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RRRaúl Rodríguez-Solà
Raúl Rodríguez-Solà
XNXavier Navarro
Xavier Navarro
M. Carmen Casas CastilloM. Carmen Casas Castillo
M. Carmen Casas Castillo
JRJaime Ribalaygua
Jaime Ribalaygua
BRBeniamino Russo
Beniamino Russo
ARAngel Redaño
Angel Redaño
The evaluation of the possible climate change influence on extreme precipitation is very interesting in the Mediterranean area due to the usual and characteristic high intensities of its rainfall pattern. This analysis is also very important in urban zones, especially those densely populated with complex sewer systems, generally vulnerable to torrential rainfall. In this work, a total of 114 simulated daily rainfall series, 84 for the period 2000–2099 and 30 for the control period 1951–1999, have been analysed. These series were obtained for six thermo‐pluviometric stations located in the metropolitan area of Barcelona using the information provided by five general circulation models under four future climate scenarios of greenhouse gas emissions and applying statistical downscaling methods. The potential changes in the intensity–duration–frequency relationships due to climate change have been investigated. For the last third of the 21st century, under A1B, A2 and B2 climate scenarios, an increase of at least 4% has been found on the expected daily rainfall with return period longer than 20 years. Using a temporal downscaling based on scaling properties of rainfall, future hourly extreme rainfall has been estimated. For almost all the scenarios and periods considered, the increase on the expected hourly rainfall has resulted slightly higher than the corresponding daily rainfall. The greatest differences between the future hourly and daily rainfall estimated have been found in the second third of the century under scenarios A1B (8%) and A2 (9%). © 2013 Royal Meteorological Society

21 June 2011 in International Journal of Climatology
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M. Carmen Casas CastilloM. Carmen Casas Castillo
M. Carmen Casas Castillo
RRRaúl Rodríguez-Solà
Raúl Rodríguez-Solà
MPMarc Prohom
Marc Prohom
AGAntonio Gázquez
Antonio Gázquez
ARAngel Redaño
Angel Redaño
The main objective of this study is to estimate the probable maximum precipitation (PMP) in Barcelona for durations ranging from 5 min to 30 h. To this end, rain records from the Jardí gauge of the Fabra Observatory located in Barcelona (1927–1992) and the urban pluviometric network supported by Clavegueram de Barcelona, S.A. (CLABSA, 1994–2007) were analysed. Two different techniques were used and compared: a physical method based on the maximization of actual storms, and the Hershfield' statistical method. The PMP values obtained using the two techniques are very similar. In both cases, the expected increasing behaviour of the PMP with duration was found, with the increase especially notable for the mesoscale durations 2–9 h, and not significant from 12 h on up. This result seems to be related to the scale of the meteorological situations producing high intense rainfall amounts over our territory. Copyright © 2010 Royal Meteorological Society

1 November 2020 in Journal of Hydrology
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Journal Article
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Renato MorbidelliRenato Morbidelli
Renato Morbidelli
AGAmanda Penelope García-Marín
Amanda Penelope García-Marín
Abdullah Al MamunAbdullah Al Mamun
Abdullah Al Mamun
ARAtiqur Mohammad Rahman
Atiqur Mohammad Rahman
JAJosé Luís Ayuso-Muñoz
José Luís Ayuso-Muñoz
Carla SaltalippiCarla Saltalippi
Carla Saltalippi

16 January 2019 in Theoretical and Applied Climatology
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Journal Article
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ALAlba Llabres-Brustenga
Alba Llabres-Brustenga
ARAnna Rius
Anna Rius
RRRaúl Rodríguez-Solà
Raúl Rodríguez-Solà
M. Carmen Casas CastilloM. Carmen Casas Castillo
M. Carmen Casas Castillo
ARAngel Redaño
Angel Redaño

1 November 2017 in Journal of Hydrology
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Journal Article
Open access
RMRenato Morbidelli
Renato Morbidelli
CSCarla Saltalippi
Carla Saltalippi
AFAlessia Flammini
Alessia Flammini
MCMarco Cifrodelli
Marco Cifrodelli
TPTommaso Picciafuoco
Tommaso Picciafuoco
SWSean M. Wilkinson
Sean M. Wilkinson
For a few decades the local rainfall measurements are generally obtained by tipping bucket sensors, that allow to record each tipping time corresponding to a well-known rain depth. However, a considerable part of rainfall data to be used in the hydrological practice is available in aggregated form within constant time intervals. This can produce undesirable effects, like the underestimation of the annual maximum rainfall depth, Hd, associated with a given duration, d, that is the basic quantity in the development of rainfall depth-duration-frequency relationships. The errors in the evaluation of Hd from data characterized by a coarse temporal aggregation, ta, and a procedure to reduce the non-homogeneity of the Hd series are here investigated. Our results show that for ta = 1 min the underestimation is practically negligible, whereas for larger temporal aggregations with d = ta the error in a single Hd can reach values up to 50% and in a series of Hd in the average up to 17%. Relationships between the non-dimensional ratio ta/d and the average underestimation of Hd, derived through continuous rainfall data observed in many stations of Central Italy, are presented to overcome this issue. These equations allow to improve the Hd estimates and the associated depth-duration-frequency curves at least in areas with similar climatic conditions. The effect of the correction of the Hd series on the rainfall depth-duration-frequency curves is quantified. Our results indicate that the improvements obtained by the proposed procedure are of the order of 10%.Peer ReviewedPostprint (published version

1 April 2004 in Theoretical and Applied Climatology
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Journal Article
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M. Carmen Casas CastilloM. Carmen Casas Castillo
M. Carmen Casas Castillo
BCB. Codina
B. Codina
ARA. Redaño
A. Redaño
JLJ. Lorente
J. Lorente