Articles | Volume 20, issue 4
https://doi.org/10.5194/npg-20-513-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/npg-20-513-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Mapping air temperature using time series analysis of LST: the SINTESI approach
S. M. Alfieri
National Research Council, Institute for the Agricultural and Forest System in the Mediterranean, Ercolano, Italy
F. De Lorenzi
National Research Council, Institute for the Agricultural and Forest System in the Mediterranean, Ercolano, Italy
M. Menenti
Delft University of Technology, Department of Geoscience and Remote Sensing, Delft, the Netherlands
Related authors
No articles found.
Chaolei Zheng, Li Jia, Guangcheng Hu, Massimo Menenti, and Joris Timmermans
Hydrol. Earth Syst. Sci., 29, 485–506, https://doi.org/10.5194/hess-29-485-2025, https://doi.org/10.5194/hess-29-485-2025, 2025
Short summary
Short summary
Reliable quantification of the amount and variability of evapotranspiration (ET) on the Tibetan Plateau is important for understanding the regional water cycle and resources. This study compares 22 ET products and finds that the mean annual ET over the Tibetan Plateau is 333.1 mm yr-1, and most products show an increasing trend. It also finds that soil evaporation is the largest contributor to total ET and that contributions from open-water evaporation and snow/ice sublimation cannot be ignored.
M. Herrero-Huerta, S. Lagüela, S. M. Alfieri, and M. Menenti
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 737–741, https://doi.org/10.5194/isprs-archives-XLII-2-W7-737-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-737-2017, 2017
Yerong Wu, Martin de Graaf, and Massimo Menenti
Atmos. Meas. Tech., 9, 5575–5589, https://doi.org/10.5194/amt-9-5575-2016, https://doi.org/10.5194/amt-9-5575-2016, 2016
Short summary
Short summary
In this paper, we developed a new algorithm to improve the retrieval of aerosol optical depth (AOD) over land with satellite measurement by refining the shape of the spectral surface reflectance to improve the estimated background reflectance in the channel used for AOD retrieval. The results show that the angular effects of the retrievals are largely reduced, including fewer occurrences of negative retrievals. This implies that the users can get more accurate data without angular bias.
Haolu Shang, Massimo Menenti, and Li Jia
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2016-129, https://doi.org/10.5194/hess-2016-129, 2016
Manuscript not accepted for further review
Short summary
Short summary
The key point of the discrete rainfall–runoff model is to consider the temporal differences in the redisctribution of precipitation in a catchment through the weights and the duration of antecedent precipiation. The wetness conditions at the upper and lower boundaries of soil layer are the key parameters to describe regional moisture condition. The interannual variations in model weights indicates the different catchment response between dry and wet years.
V. H. Phan, R. C. Lindenbergh, and M. Menenti
The Cryosphere Discuss., https://doi.org/10.5194/tcd-8-2425-2014, https://doi.org/10.5194/tcd-8-2425-2014, 2014
Revised manuscript not accepted
V. H. Phan, R. C. Lindenbergh, and M. Menenti
Hydrol. Earth Syst. Sci., 17, 4061–4077, https://doi.org/10.5194/hess-17-4061-2013, https://doi.org/10.5194/hess-17-4061-2013, 2013