Javier Casalí

Dr. Javier Casalí

Engineering, Public University of Navarra, Pamplona, Navarre, Spain
orcid

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

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

Representative Publications

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24 November 2005 in Earth Surface Processes and Landforms
Verified
Journal Article
Closed access
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LSL. M. De Santisteban
L. M. De Santisteban
JCJavier Casalí
Javier Casalí
JLJosé Javier López
José Javier López

1 March 2014 in Agricultural Water Management
Verified
Journal Article
Closed access
YCY. Chahor
Y. Chahor
JCJavier Casalí
Javier Casalí
RGRafael Giménez
Rafael Giménez
RBR.L. Bingner
R.L. Bingner
Miguel Angel Campo-BescósMiguel Angel Campo-Bescós
Miguel Angel Campo-Bescós
MGM. Goñi
M. Goñi

13 January 2009 in Sensors
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Journal Article
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JAJesus Alvarez-Mozos
Jesus Alvarez-Mozos
NVNiko Verhoest
Niko Verhoest
ALArantzazu Larrañaga
Arantzazu Larrañaga
JCJavier Casalí
Javier Casalí
MAMaría González De Audícana
María González De Audícana
Radar-based surface soil moisture retrieval has been subject of intense research during the last decades. However, several difficulties hamper the operational estimation of soil moisture based on currently available spaceborne sensors. The main difficulty experienced so far results from the strong influence of other surface characteristics, mainly roughness, on the backscattering coefficient, which hinders the soil moisture inversion. This is especially true for single configuration observations where the solution to the surface backscattering problem is ill-posed. Over agricultural areas cultivated with winter cereal crops, roughness can be assumed to remain constant along the growing cycle allowing the use of simplified approaches that facilitate the estimation of the moisture content of soils. However, the field scale spatial variability and temporal variations of roughness can introduce errors in the estimation of soil moisture that are difficult to evaluate. The objective of this study is to assess the impact of roughness spatial variability and roughness temporal variations on the retrieval of soil moisture from radar observations. A series of laser profilometer measurements were performed over several fields in an experimental watershed from September 2004 to March 2005. The influence of the observed roughness variability and its temporal variations on the retrieval of soil moisture is studied using simulations performed with the Integral Equation Model, considering different sensor configurations. Results show that both field scale roughness spatial variability and its temporal variations are aspects that need to be taken into account, since they can introduce large errors on the retrieved soil moisture values.

10 July 2015 in SOIL
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Journal Article
Open access
JCJavier Casalí
Javier Casalí
RGR. Giménez
R. Giménez
Miguel Angel Campo-BescósMiguel Angel Campo-Bescós
Miguel Angel Campo-Bescós
Much of the research on (ephemeral) gully erosion comprises the determination of the geometry of these eroded channels, especially their width and depth. This is not a simple task due to uncertainty generated by the wide range of variability in gully cross section shapes found in the field. However, in the literature, this uncertainty is not recognized so that no criteria for their measurement are indicated. The aim of this work is to make researchers aware of the ambiguity that arises when characterizing the geometry of an ephemeral gully and similar eroded channels. In addition, a measurement protocol is proposed with the ultimate goal of pooling criteria in future works. It is suggested that the geometry of a gully could be characterized through its mean equivalent width and mean equivalent depth, which, together with its length, define an "equivalent prismatic gully" (EPG). The latter would facilitate the comparison between different gullies.

7 April 2005 in Earth Surface Processes and Landforms
Verified
Journal Article
Closed access
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LSL. M. De Santisteban
L. M. De Santisteban
JCJavier Casalí
Javier Casalí
JLJosé Javier López
José Javier López
JGJuan V Giráldez
Juan V Giráldez
Jean PoesenJean Poesen
Jean Poesen
JNJ. Nachtergaele
J. Nachtergaele

9 June 2020 in Atmosphere
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Journal Article
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DPDhais Peña-Angulo
Dhais Peña-Angulo
Estela Nadal RomeroEstela Nadal Romero
Estela Nadal Romero
JGJ.C. González-Hidalgo
J.C. González-Hidalgo
Juan AlbaladejoJuan Albaladejo
Juan Albaladejo
VAV. Andreu
V. Andreu
MZMatija Zorn
Matija Zorn
Rainfall is the key factor to understand soil erosion processes, mechanisms, and rates. Most research was conducted to determine rainfall characteristics and their relationship with soil erosion (erosivity) but there is little information about how atmospheric patterns control soil losses, and this is important to enable sustainable environmental planning and risk prevention. We investigated the temporal and spatial variability of the relationships of rainfall, runoff, and sediment yield with atmospheric patterns (weather types, WTs) in the western Mediterranean basin. For this purpose, we analyzed a large database of rainfall events collected between 1985 and 2015 in 46 experimental plots and catchments with the aim to: (i) evaluate seasonal differences in the contribution of rainfall, runoff, and sediment yield produced by the WTs; and (ii) to analyze the seasonal efficiency of the different WTs (relation frequency and magnitude) related to rainfall, runoff, and sediment yield. The results indicate two different temporal patterns: the first weather type exhibits (during the cold period: autumn and winter) westerly flows that produce the highest rainfall, runoff, and sediment yield values throughout the territory; the second weather type exhibits easterly flows that predominate during the warm period (spring and summer) and it is located on the Mediterranean coast of the Iberian Peninsula. However, the cyclonic situations present high frequency throughout the whole year with a large influence extended around the western Mediterranean basin. Contrary, the anticyclonic situations, despite of its high frequency, do not contribute significantly to the total rainfall, runoff, and sediment (showing the lowest efficiency) because of atmospheric stability that currently characterize this atmospheric pattern. Our approach helps to better understand the relationship of WTs on the seasonal and spatial variability of rainfall, runoff and sediment yield with a regional scale based on the large dataset and number of soil erosion experimental stations.