Search

Your search keyword '"Fita, Lluis"' showing total 16 results
Start Over Author "Fita, Lluis"
16 results on '"Fita, Lluis"'

6. Experiment for the validation and evaluation of the floodplains scheme in ORCHIDEE

Author

Schrapffer Anthony, Polcher Jan, Sörensson Anna, and Fita Lluis

Subjects
land surface modelling, hydrology, river routing
Abstract

This file aims to complement the article called "Introducing a new floodplain scheme in ORCHIDEE: validation and evaluation over the Pantanal wetlands" from Anthony Schrapffer, Jan Polcher, Anna Sörensson and Lluís Fita. It contains the necessary data and code to be able to reproduce the experiments studied in the article which has been sent to the Geoscientific Model Development (GMD) journal. The archived file includes the ORCHIDEE code (Fortran) used to run the simulations, the routing file used to describe the river network and floodplains, the restart files used to initialize the simulations and the file with the different parameters used as input.&nbsp

Published
2023
Full Text
View/download PDF

8. Understanding climate change impacts on biome and plant distributions in the Andes: Challenges and opportunities

Author

Tovar, Carolina, primary, Carril, Andrea F., additional, Gutiérrez, Alvaro G., additional, Ahrends, Antje, additional, Fita, Lluis, additional, Zaninelli, Pablo, additional, Flombaum, Pedro, additional, Abarzúa, Ana M., additional, Alarcón, Diego, additional, Aschero, Valeria, additional, Báez, Selene, additional, Barros, Agustina, additional, Carilla, Julieta, additional, Ferrero, M. Eugenia, additional, Flantua, Suzette G. A., additional, Gonzáles, Paúl, additional, Menéndez, Claudio G., additional, Pérez‐Escobar, Oscar A., additional, Pauchard, Aníbal, additional, Ruscica, Romina C., additional, Särkinen, Tiina, additional, Sörensson, Anna A., additional, Srur, Ana, additional, Villalba, Ricardo, additional, and Hollingsworth, Peter M., additional

Published
2022
Full Text
View/download PDF

11. Internal variability versus multi‐physics uncertainty in a regional climate model

Author

Lavin‐Gullon, Alvaro, primary, Fernandez, Jesus, additional, Bastin, Sophie, additional, Cardoso, Rita M., additional, Fita, Lluis, additional, Giannaros, Theodore M., additional, Goergen, Klaus, additional, Gutierrez, Jose Manuel, additional, Kartsios, Stergios, additional, Katragkou, Eleni, additional, Lorenz, Torge, additional, Milovac, Josipa, additional, Soares, Pedro M. M., additional, Sobolowski, Stefan, additional, and Warrach‐Sagi, Kirsten, additional

Published
2020
Full Text
View/download PDF

13. Internal variability versus multi‐physics uncertainty in a regional climate model.

Author

Lavin‐Gullon, Alvaro, Fernandez, Jesus, Bastin, Sophie, Cardoso, Rita M., Fita, Lluis, Giannaros, Theodore M., Goergen, Klaus, Gutierrez, Jose Manuel, Kartsios, Stergios, Katragkou, Eleni, Lorenz, Torge, Milovac, Josipa, Soares, Pedro M. M., Sobolowski, Stefan, and Warrach‐Sagi, Kirsten

Subjects
ATMOSPHERIC models, ATMOSPHERIC circulation, GEOPOTENTIAL height, UNCERTAINTY, PARAMETERIZATION
Abstract

In a recent study, Coppola et al. assessed the ability of an ensemble of convection‐permitting models (CPM) to simulate deep convection using three case studies. The ensemble exhibited strong discrepancies between models, which were attributed to various factors. In order to shed some light on the issue, we quantify in this article the uncertainty associated to different physical parameterizations from that of using different initial conditions, often referred to as the internal variability. For this purpose, we establish a framework to quantify both signals and we compare them for upper atmospheric circulation and near‐surface variables. The analysis is carried out in the context of the CORDEX Flagship Pilot Study on Convective phenomena at high resolution over Europe and the Mediterranean, in which the intermediate RCM WRF simulations that serve to drive the CPM are run several times with different parameterizations. For atmospheric circulation (geopotential height), the sensitivity induced by multi‐physics and the internal variability show comparable magnitudes and a similar spatial distribution pattern. For 2‐m temperature and 10‐m wind, the simulations with different parameterizations show larger differences than those launched with different initial conditions. The systematic effect over 1 year shows distinct patterns for the multi‐physics and the internal variability. Therefore, the general lesson of this study is that internal variability should be analysed in order to properly distinguish the impact of other sources of uncertainty, especially for short‐term sensitivity simulations. [ABSTRACT FROM AUTHOR]

Published
2021
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results