Diogo S. Martins
University of Lisbon
14Publications
6H-index
78Citations
Publications 14
Newest
Published on Feb 11, 2019in Empirica 0.71
Diogo S. Martins6
Estimated H-index: 6
(University of Lisbon),
Bruno Damásio2
Estimated H-index: 2
(University of Lisbon)
This article assesses the effectiveness of the labour market reforms implemented in Portugal as part of the Troika’s structural reform package. Using an ARDL-bounds test model to perform the econometric estimation, this investigation examines the long-run relationship between unemployment, capital accumulation and labour market variables for the 1985–2013 period. The econometric estimation suggests that capital accumulation has been the main driver of long-run unemployment, whilst labour market ...
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Published on Nov 1, 2018in Agricultural Water Management 3.18
Paula Paredes18
Estimated H-index: 18
(Instituto Politécnico Nacional),
Diogo S. Martins6
Estimated H-index: 6
(Instituto Superior de Agronomia)
+ 2 AuthorsCarlos Pires9
Estimated H-index: 9
(University of Lisbon)
Abstract This study aims at assessing the accuracy of estimating daily grass reference evapotranspiration (PM-ET o ) computed with ERA-Interim reanalysis products, as well as to assess the quality of reanalysis products as predictors of daily maximum and minimum temperature, net radiation, dew point temperature and wind speed, which are used to compute PM-ET o . With this propose, ET o computed from local observations of weather variables in 24 weather stations distributed across Continental Por...
1 Citations Source Cite
Published on Feb 17, 2018in Water Resources Management 2.64
Abdelaaziz Merabti2
Estimated H-index: 2
(École Normale Supérieure),
Diogo S. Martins6
Estimated H-index: 6
(University of Lisbon)
+ 1 AuthorsLuis S. Pereira50
Estimated H-index: 50
(Instituto Superior de Agronomia)
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Published on Feb 1, 2018in Water Resources Management 2.64
Abdelaaziz Merabti2
Estimated H-index: 2
(École Normale Supérieure),
Diogo S. Martins6
Estimated H-index: 6
(University of Lisbon)
+ 1 AuthorsLuis S. Pereira50
Estimated H-index: 50
(University of Lisbon)
The spatial and temporal variability of droughts were studied for the Northeast Algeria using SPI and RDI computed with monthly precipitation data from 123 rainfall stations and CFSR reanalysis monthly temperature data covering the period 1979–80 to 2013–14. The gridded temperature data was interpolated to all the locations having precipitation data, thus providing to compute SPI and RDI with the time scales of 3-, 6- and 12-month with the same observed rainfall data. Spatial and temporal patter...
2 Citations Source Cite
Published on Feb 1, 2018in Water Resources Management 2.64
Abdelaaziz Merabti2
Estimated H-index: 2
(École Normale Supérieure),
Hind Meddi9
Estimated H-index: 9
(École Normale Supérieure)
+ 1 AuthorsLuis S. Pereira50
Estimated H-index: 50
(Instituto Superior de Agronomia)
Drought and wetness events were studied in the Northeast Algeria with SPI and RDI. The study area includes a variety of climatic conditions, ranging from humid in the North, close to the Mediterranean Sea, to arid in the South, near the Sahara Desert. SPI only uses precipitation data while RDI uses a ratio between precipitation and potential evapotranspiration (PET). The latter was computed with the Thornthwaite equation, thus using temperature data only. Monthly precipitation data were obtained...
2 Citations Source Cite
Published on Apr 1, 2017in International Journal of Climatology 3.10
Diogo S. Martins6
Estimated H-index: 6
(Instituto Superior de Agronomia),
Paula Paredes18
Estimated H-index: 18
(Instituto Superior de Agronomia)
+ 3 AuthorsLuis S. Pereira50
Estimated H-index: 50
(University of Lisbon)
Computing crop reference evapotranspiration (ETo) with the FAO Penman–Monteith method (PM-ETo) requires maximum and minimum air temperature, shortwave radiation, relative air humidity and wind speed. These data are often not available, thus requiring alternative computation procedures. Although some proposed approximations may provide ETo values with small estimation errors, the physics of the ET processes may then not be well described. The use of reanalysis data, which is common in climate stu...
6 Citations Source Cite
Published on Sep 1, 2016in Water Resources Management 2.64
Xiaodong Ren2
Estimated H-index: 2
(Inner Mongolia Agricultural University),
Zhongyi Qu7
Estimated H-index: 7
(Inner Mongolia Agricultural University)
+ 2 AuthorsLuis S. Pereira50
Estimated H-index: 50
(University of Lisbon)
When weather data sets available for computing the reference evapotranspiration are incomplete or of questionable quality, there is the need to replace the FAO Penman-Monteith (PM-ETo) method by approaches requiring reduced sets only, particularly maximum and minimum temperature. The Hargreaves-Samani (HS) equation and the PM-ETo using only temperature data (PMT) are considered in this study and their results are compared with those of the PM-ETo using full datasets. Daily data sets refer to the...
11 Citations Source Cite
Published on Dec 1, 2016in Water Resources Management 2.64
Ana A. Paulo10
Estimated H-index: 10
(Instituto Politécnico Nacional),
Diogo S. Martins6
Estimated H-index: 6
(University of Lisbon),
Luis S. Pereira50
Estimated H-index: 50
(Instituto Superior de Agronomia)
Drought indices, such as the Standardized Precipitation Index (SPI) are used to quantify drought severity. Due to the SPI probabilistic and standardized nature, a given value of SPI computed in distinct time periods or locations indicates the same relative drought severity but corresponds to different amounts of precipitation. Thus, the present study aims at contributing for a comprehensive analysis of the influence of long-term precipitation variability on drought assessment by the SPI. Long re...
10 Citations Source Cite
Published on Sep 1, 2016in Water Resources Management 2.64
Xiaodong Ren2
Estimated H-index: 2
(Inner Mongolia Agricultural University),
Diogo S. Martins6
Estimated H-index: 6
(University of Lisbon)
+ 2 AuthorsLuis S. Pereira50
Estimated H-index: 50
(University of Lisbon)
This study focuses on assessing trends of reference evapotranspiration (ETo) considering aridity. Weather data sets of 54–62 years of Inner Mongolia, a Chinese Province where climate varies from hyper-arid in the West to wet sub-humid in the East, were used. Trends were analyzed for ETo computed with the FAO Penman-Monteith method (PM-ETo) using full data sets of maximum and minimum temperature (Tmax and Tmin), sunshine duration (SD) used to compute net radiation, relative humidity (RH) and wind...
6 Citations Source Cite
Published on Jan 1, 2015in Water Resources Management 2.64
Tayeb Raziei13
Estimated H-index: 13
(University of Lisbon),
Diogo S. Martins6
Estimated H-index: 6
(University of Lisbon)
+ 4 AuthorsAlfonso Sutera13
Estimated H-index: 13
(Sapienza University of Rome)
Regional drought modes in Portugal are identified applying the Principal Component Analysis (PCA) and Varimax rotation to the Standardized Precipitation Index (SPI) computed on various time scales using the three precipitation datasets covering the period 1950–2003: (i) The observation dataset composed of 193 rain-gauges distributed almost uniformly over the country, (ii) the PT02 high-resolution gridded dataset provided by the Portuguese Meteorological Institute, and (iii) the GPCC dataset with...
14 Citations Source Cite
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