scholarly journals Circulation weather types and spatial variability of daily precipitation in the Iberian Peninsula

2014 ◽  
Vol 2 ◽  
Author(s):  
Alexandre M. Ramos ◽  
Nicola Cortesi ◽  
Ricardo M. Trigo
2013 ◽  
Vol 34 (8) ◽  
pp. 2661-2677 ◽  
Author(s):  
Nicola Cortesi ◽  
José Carlos Gonzalez-Hidalgo ◽  
Ricardo M. Trigo ◽  
Alexandre M. Ramos

2019 ◽  
Vol 11 (18) ◽  
pp. 2080 ◽  
Author(s):  
Shuhong Wang ◽  
Jintao Liu ◽  
Jiarong Wang ◽  
Xiao Qiao ◽  
Jie Zhang

In most Asian high mountain areas, ground-based observations of precipitation are sparse. It is urgent to assess and apply satellite precipitation products (SPPs). In recent years, relatively dense rain gauges have been established in five tributaries in Lhasa. Therefore, based on high-density rain gauges, two SPPs (GPM IMERG V05B, TRMM 3B42V7) were evaluated at the grid, region, and time scales with different statistical indices in the five tributaries. Besides, the dependence of SPPs performances on the precipitation intensities, elevation, and slope was investigated. The results indicate that: (1) both 3B42V7 and IMERG showed similarly low correlation with rain gauges at daily scale and high correlation at monthly scale, but 3B42V7 tended to suffer from systematic overestimation of monthly precipitation; (2) IMERG product outperformed 3B42V7 except for obvious overestimation of trace precipitation (0.1~1 mm day−1) and underestimation of torrential precipitation (>50 mm day−1); (3) the precipitation over the five tributaries showed significant spatial variability with difference of characteristic values (e.g., average daily precipitation) more than 20% in some IMERG grids and most 3B42V7 grids; (4) elevation had an obvious effect on the accuracy of 3B42V7 and IMERG, and the accuracy of the two SPPs decreased significantly with the increase of elevation.


1992 ◽  
Vol 6 (4) ◽  
pp. 304-320 ◽  
Author(s):  
E. G. Beek ◽  
A. Stein ◽  
L. L. F. Janssen

2018 ◽  
Vol 19 (6) ◽  
pp. 1007-1025 ◽  
Author(s):  
Joël Arnault ◽  
Thomas Rummler ◽  
Florian Baur ◽  
Sebastian Lerch ◽  
Sven Wagner ◽  
...  

Abstract Precipitation is affected by soil moisture spatial variability. However, this variability is not well represented in atmospheric models that do not consider soil moisture transport as a three-dimensional process. This study investigates the sensitivity of precipitation to the uncertainty in the representation of terrestrial water flow. The tools used for this investigation are the Weather Research and Forecasting (WRF) Model and its hydrologically enhanced version, WRF-Hydro, applied over central Europe during April–October 2008. The model grid is convection permitting, with a horizontal spacing of 2.8 km. The WRF-Hydro subgrid employs a 280-m resolution to resolve lateral terrestrial water flow. A WRF/WRF-Hydro ensemble is constructed by modifying the parameter controlling the partitioning between surface runoff and infiltration and by varying the planetary boundary layer (PBL) scheme. This ensemble represents terrestrial water flow uncertainty originating from the consideration of resolved lateral flow, terrestrial water flow uncertainty in the vertical direction, and turbulence parameterization uncertainty. The uncertainty of terrestrial water flow noticeably increases the normalized ensemble spread of daily precipitation where topography is moderate, surface flux spatial variability is high, and the weather regime is dominated by local processes. The adjusted continuous ranked probability score shows that the PBL uncertainty improves the skill of an ensemble subset in reproducing daily precipitation from the E-OBS observational product by 16%–20%. In comparison to WRF, WRF-Hydro improves this skill by 0.4%–0.7%. The reproduction of observed daily discharge with Nash–Sutcliffe model efficiency coefficients generally above 0.3 demonstrates the potential of WRF-Hydro in hydrological science.


2007 ◽  
Vol 186 (1-4) ◽  
pp. 311-321 ◽  
Author(s):  
José Antonio Rodríguez Martín ◽  
Antonio Vázquez de la Cueva ◽  
José Manuel Grau Corbí ◽  
Manuel López Arias

2015 ◽  
Vol 36 (11) ◽  
pp. 3873-3891 ◽  
Author(s):  
Andrés Merino ◽  
Mario Fernández-Vaquero ◽  
Laura López ◽  
Sergio Fernández-González ◽  
Lucía Hermida ◽  
...  

2009 ◽  
Vol 30 (7) ◽  
pp. 1026-1041 ◽  
Author(s):  
J. I. López-Moreno ◽  
S. M. Vicente-Serrano ◽  
M. Angulo-Martínez ◽  
S. Beguería ◽  
A. Kenawy

2020 ◽  
Author(s):  
Inês Vieira ◽  
Ana Russo ◽  
Ricardo M. Trigo

<p>The Mediterranean region is characterized by frequent summer wildfires, which represent an environmental and socioeconomic burden [1]. Some Mediterranean countries (or provinces) are particularly prone to Large Fires (LF), namely Portugal, Galicia (Spain), Greece, and southern France [1,2]. Moreover, the Mediterranean basin corresponds to a major hotspot of climate change, and anthropogenic warming is expected to increase the total burned area due to wildfires in Iberian Peninsula (IP) [3].</p><p>Here, we propose to classify summer LF (June-September) for fifty-four provinces of the IIP according to their local-scale weather conditions (i.e. temperature, relative humidity, wind speed) and to fire danger weather conditions as measured by two fire weather indices (Duff Moisture Code and Drought Code). A cluster analysis was applied to identify a limited set of Fire Weather Types (FWT), each characterized by a combination of meteorological conditions leading to a better understanding of the relationship between meteorological drivers and fire occurrence. For each of the provinces, two significant FWT were identified with different characteristics, one dominated by high positive temperature anomalies and negative humidity anomalies (FWT1), and the other by intense zonal wind anomalies (FWT2) with two distinct subtypes in Iberia (FWT2_E and FWT2_W). Consequently, three distinct regions in the IP are identified: 1) dominated by FWT1, which is responsible for the largest amount of area burned in most of central-West provinces of Iberia; 2) the regions where the FWT2_E, associated with east winds is predominant, which are concentrated in the Northwest regions of the IP and the 3) regions where second subtype dominates, related with west winds (FWT2_W) in the easternmost provinces of the peninsula. Additionally, it was possible to verify that for each of the three regions the influence of the variables under study varies at different timescales. We reinforce the importance of studying the problem associated with LF for regions where similar conditions were verified regardless national borders.</p><p> </p><p>[1] Trigo, R. M., Sousa, P. M., Pereira, M. G., Rasilla, D., & Gouveia, C. M. (2013). “Modelling wildfire activity in Iberia with different atmospheric circulation weather types”. International Journal of Climatology 36(7), 2761–2778. https://doi.org/10.1002/joc.3749.</p><p>[2] Ruffault, J., Moron, V., Trigo, R. M., & Curt, T. (2016). “Objective identification of multiple large fire climatologies: An application to a Mediterranean ecosystem”. Environmental Research Letters 11(7). https://doi.org/10.1088/1748-9326/11/7/075006.</p><p>[3] Sousa, P. M., Trigo, R. M., Pereira, M. G., Bedia, J., & Gutiérrez, J. M. (2015).”Different approaches to model future burnt area in the Iberian Peninsula”. Agricultural and Forest Meteorology 202, 11–25. https://doi.org/10.1016/j.agrformet.2014.11.018.</p><p> </p><p><strong>Acknowledgements:</strong> This work was supported by national funds through FCT (Fundação para a Ciência e a Tecnologia, Portugal) under project IMPECAF (PTDC/CTA-CLI/28902/2017). The authors also thank Miguel M. Pinto for extracting the ERA-Interim reanalysis, the MSG and the FWI data used in this study.</p>


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