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Book ; Online: Natural Disasters

Cheval, Sorin

2012

Keywords	Meteorology & climatology
Size	1 electronic resource (168 pages)
Publisher	IntechOpen
Document type	Book ; Online
Note	English ; Open Access
HBZ-ID	HT021049478
ISBN	9789535149682 ; 9535149687
Database	ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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Article: Black Sea impact on its west-coast land surface temperature

Cheval, Sorin / Sorin Constantin

Theoretical and applied climatology. 2019 Feb., v. 135, no. 3-4

2019

Abstract: This study investigates the Black Sea influence on the thermal characteristics of its western hinterland based on satellite imagery acquired by the Moderate Resolution Imaging Spectroradiometer (MODIS). The marine impact on the land surface temperature ( ... ...

Abstract	This study investigates the Black Sea influence on the thermal characteristics of its western hinterland based on satellite imagery acquired by the Moderate Resolution Imaging Spectroradiometer (MODIS). The marine impact on the land surface temperature (LST) values is detected at daily, seasonal and annual time scales, and a strong linkage with the land cover is demonstrated. The remote sensing products used within the study supply LST data with complete areal coverage during clear sky conditions at 1-km spatial resolution, which is appropriate for climate studies. The sea influence is significant up to 4–5 km, by daytime, while the nighttime influence is very strong in the first 1–2 km, and it gradually decreases westward. Excepting the winter, the daytime temperature increases towards the plateau with the distance from the sea, e.g. with a gradient of 0.9 °C/km in the first 5 km in spring or with 0.7 °C/km in summer. By nighttime, the sea water usually remains warmer than the contiguous land triggering higher LST values in the immediate proximity of the coastline in all seasons, e.g. mean summer LST is 19.0 °C for the 1-km buffer, 16.6 °C for the 5-km buffer and 16.0 °C for the 10-km buffer. The results confirm a strong relationship between the land cover and thermal regime in the western hinterland of the Black Sea coast. The satellite-derived LST and air temperature values recorded at the meteorological stations are highly correlated for similar locations, but the marine influence propagates differently, pledging for distinct analysis. Identified anomalies in the general observed trends are investigated in correlation with sea surface temperature dynamics in the coastal area.
Keywords	air temperature ; climate ; coasts ; hinterland ; land cover ; moderate resolution imaging spectroradiometer ; remote sensing ; seawater ; spring ; summer ; surface water temperature ; thermal properties ; winter ; Black Sea
Language	English
Dates of publication	2019-02
Size	p. 1583-1593.
Publishing place	Springer Vienna
Document type	Article
ZDB-ID	1463177-5
ISSN	1434-4483 ; 0177-798X
ISSN (online)	1434-4483
ISSN	0177-798X
DOI	10.1007/s00704-018-2454-0
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Exploratory Analysis of Urban Climate Using a Gap-Filled Landsat 8 Land Surface Temperature Data Set.

Cheval, Sorin / Dumitrescu, Alexandru / Amihaesei, Vlad-Alexandru

Sensors (Basel, Switzerland)

2020 Volume 20, Issue 18

Abstract: The Landsat 8 satellites have retrieved land surface temperature (LST) resampled at a 30-m spatial resolution since 2013, but the urban climate studies frequently use a limited number of images due to the problems related to missing data over the city of ...

Abstract	The Landsat 8 satellites have retrieved land surface temperature (LST) resampled at a 30-m spatial resolution since 2013, but the urban climate studies frequently use a limited number of images due to the problems related to missing data over the city of interest. This paper endorses a procedure for building a long-term gap-free LST data set in an urban area using the high-resolution Landsat 8 imagery. The study is applied on 94 images available through 2013-2018 over Bucharest (Romania). The raw images containing between 1.1% and 58.4% missing LST data were filled in using the Data INterpolating Empirical Orthogonal Functions (DINEOF) algorithm implemented in the
Language	English
Publishing date	2020-09-17
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s20185336
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Comparison of spatial interpolation methods for estimating the precipitation distribution in Portugal

Antal, Alexandru / Guerreiro, Pedro M. P. / Cheval, Sorin

Theoretical and applied climatology. 2021 Aug., v. 145, no. 3-4

2021

Abstract: Precipitation has a strong and constant impact on different economic sectors, environment and social activities all over the world. An increasing interest for monitoring and estimating the precipitation characteristics can be claimed in the last decades. ...

Abstract	Precipitation has a strong and constant impact on different economic sectors, environment and social activities all over the world. An increasing interest for monitoring and estimating the precipitation characteristics can be claimed in the last decades. However, in some areas, the ground-based network is still sparse and the spatial data coverage insufficiently addresses the needs. In the last decades, different interpolation methods provide an efficient response for describing the spatial distribution of precipitation. In this study, we compare the performance of seven interpolation methods used for retrieving the mean annual precipitation over the mainland Portugal, as follows: local polynomial interpolation (LPI), global polynomial interpolation (GPI), radial basis function (RBF), inverse distance weighted (IDW), ordinary cokriging (OCK), universal cokriging (UCK) and empirical Bayesian kriging regression (EBKR). We generate the mean annual precipitation distribution using data from 128 rain gauge stations covering the period 1991 to 2000. The interpolation results were evaluated using cross-validation techniques and the performance of each method was evaluated using mean error (ME), mean absolute error (MAE), root mean square error (RMSE), Pearson’s correlation coefficient (R) and Taylor diagram. The results indicate that EBKR performs the best spatial distribution. In order to determine the accuracy of spatial distribution generated by the spatial interpolation methods, we calculate the prediction standard error (PSE). The PSE result of EBKR prediction over mainland Portugal increases from south to north.
Keywords	Bayesian theory ; atmospheric precipitation ; climatology ; kriging ; prediction ; rain gauges ; spatial data ; Portugal
Language	English
Dates of publication	2021-08
Size	p. 1193-1206.
Publishing place	Springer Vienna
Document type	Article
ZDB-ID	1463177-5
ISSN	1434-4483 ; 0177-798X
ISSN (online)	1434-4483
ISSN	0177-798X
DOI	10.1007/s00704-021-03675-0
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Statistical Gap-Filling of SEVIRI Land Surface Temperature

Alexandru Dumitrescu / Marek Brabec / Sorin Cheval

Remote Sensing, Vol 12, Iss 1423, p

2020 Volume 1423

Abstract: A reliable and practically useable method for gap filling in hourly Spinning Enhanced Visible and Infrared Imager (SEVIRI LST) data using ERA5 Land Skin Temperature (ERA5ST) co-variate and additional easily accessible data (elevation, time, solar ... ...

Abstract	A reliable and practically useable method for gap filling in hourly Spinning Enhanced Visible and Infrared Imager (SEVIRI LST) data using ERA5 Land Skin Temperature (ERA5ST) co-variate and additional easily accessible data (elevation, time, solar radiation info) is proposed. The suggested approach provides estimates to all weather conditions and it is based on a probabilistic model via modern regression models. We have tested two classes of regression models of different complexity and flexibility, namely multiple linear regression (MLR), and generalized additive model (GAM). This analysis uses as main input the hourly LST data set over Romania, through 2016 and 2017, extracted from MSG-SEVIRI images, which is an operational product of the Land Surface Analysis–Satellite Application Facility (LSA-SAF). The comparison between the estimated LST and the original LST values shows that GAM model, that takes into account the distance between missing LST locations and the nearest non-missing locations (GAM2), provides the best results, hence this was used to fill the gaps from the analyzed remote sensing product. Considering the fact that the best covariate (ERA5ST) has global coverage and it is available at high spatial resolution and temporal resolution, the proposed approach could be also used to perform the gap-filling of other existing LST remote sensing products.
Keywords	land surface temperature ; gap-filling ; ERA5 land skin temperature ; generalized additive model ; Science ; Q
Subject code	310
Language	English
Publishing date	2020-04-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Challenges and opportunities of knowledge co-creation for the water-energy-land nexus

Nicu Constantin Tudose / Mirabela Marin / Sorin Cheval / Hermine Mitter / Annelies Broekman / Anabel Sanchez-Plaza / Cezar Ungurean / Serban Davidescu

Climate Services, Vol 30, Iss , Pp 100340- (2023)

2023

Abstract: The pressure on natural resources including water, energy and land is continuously growing through changes in climate and land use. Representatives of academia, industry, governments and society need to join forces in order to develop new pathways ... ...

Abstract	The pressure on natural resources including water, energy and land is continuously growing through changes in climate and land use. Representatives of academia, industry, governments and society need to join forces in order to develop new pathways towards sustainable natural resource use and management. Such pathways start from the basic idea that natural resources are finite and interlinked and that human activities can affect these resources and links, with partly irreversible effects. We combine the water–energy–land nexus and the climate services concept and present a cross-sectoral approach of knowledge co-creation to inform natural resource use and management. The approach is tested in three case studies across Europe that face different challenges resulting from climate and socio-economic change. We present the process, applied methods and major results of knowledge co-creation for sustainable natural resource use and management, and we reflect on the challenges and opportunities from engaging multiple stakeholders. Even if a comprehensive, cross-sectoral approach encourages embedding the water–energy–land nexus into climate services and allows the development of pathways towards sustainable natural resource use and management, maintaining these achievements and partnerships beyond the lifetime of a research project remains challenging.
Keywords	Multi-stakeholder approach ; Climate services ; Nexus ; Natural resource management ; Meteorology. Climatology ; QC851-999 ; Social sciences (General) ; H1-99
Subject code	333
Language	English
Publishing date	2023-04-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Climate change perception in Romania

Cheval, Sorin / Bulai, Ana / Croitoru, Adina-Eliza / Dorondel, Ștefan / Micu, Dana / Mihăilă, Dumitru / Sfîcă, Lucian / Tișcovschi, Adrian

Theoretical and applied climatology. 2022 July, v. 149, no. 1-2

2022

Abstract: In the last decades, anthropogenic drivers have significantly influenced the natural climate variability of Earth’s atmosphere. Climate change has become a subject of major interest for different levels of our society, such as national governments, ... ...

Abstract	In the last decades, anthropogenic drivers have significantly influenced the natural climate variability of Earth’s atmosphere. Climate change has become a subject of major interest for different levels of our society, such as national governments, businesses, local administration, or citizens. While national and local policies propose mitigation and adaptation strategies for different sectors, public perception is a key component of any implementation plan. This study investigates the CC perception in Romania, based on a national-scale online survey performed in the spring of 2020, aiming to outline the prominence of environmental and CC issues, level of information and interest, perceived causes, changes perceived in meteorological phenomena at the regional scale, perceived impacts, and the psychological representation of the CC. The study investigates single causal factors of perception. We found that particularly (i) the regional differences on climate change intensity strongly bias the perception of CC causes; (ii) age is very likely to influence the acceptance of CC, the importance of environmental issues, and the levels of information and interest; while (iii) age, gender, and place of residence (rural–urban) are very likely to control the changes perceived in the occurrence of various meteorological phenomena, and their impact. This research is the first statistically relevant analysis (± 4%, statistical significance) developed at national and regional scales and the only study of climate change perception performed during the COVID-19 pandemic in Romania. Its results may represent the baseline for more in-depth research.
Keywords	COVID-19 infection ; climate ; climate change ; climatology ; gender ; public opinion ; society ; spring ; surveys ; Romania
Language	English
Dates of publication	2022-07
Size	p. 253-272.
Publishing place	Springer Vienna
Document type	Article
ZDB-ID	1463177-5
ISSN	1434-4483 ; 0177-798X
ISSN (online)	1434-4483
ISSN	0177-798X
DOI	10.1007/s00704-022-04041-4
Database	NAL-Catalogue (AGRICOLA)

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Article: An enhanced Machado Index of naturalness

Mustățea, Mihai / Clius, Mioara / Tudose, Nicu Constantin / Cheval, Sorin

Catena. 2022 May, v. 212

2022

Abstract: The landscape naturalness may be defined and analysed by various concepts and methods attempting to encapsulate as much as possible the degree of natural conditions over a given territory. The Machado Index (MI) was developed by the Spanish biologist ... ...

Abstract	The landscape naturalness may be defined and analysed by various concepts and methods attempting to encapsulate as much as possible the degree of natural conditions over a given territory. The Machado Index (MI) was developed by the Spanish biologist Antonio Machado and uses a qualitative approach to naturalness, being characterized by its versatile application throughout different environments. The outcome of the expert-based evaluation is a score that corresponds to various degrees of naturalness. This research aims to turn the MI into a semi-objective tool, introducing land cover and the ‘neighbouring to natural’ criteria as quantitative components. The MI was applied for assessing the landscape naturalness over Romania, as a case-study, and the Expert Opinion Classification (EOC) method was performed in order to identify the primary benefits and limitations of the MI. Further, the study uses the Principle of Naturalness Spatial Gradient (PNSG) as the basis for conceiving a new approach, named the Edge Contrast method (ECON). The assessment of naturalness consists in the usefulness of a previous Landscape Ecology metric, the Edge Contrast Index (ECI). We finally propose a third method, encompassing the advantages of the prior two, named the Enhanced Machado Index (EMI). The main result of this study is an enhanced method which can be used for assessing the degree of naturalness in a semi-objective manner. A set of three examples taken from different areas of Romania are assessed in a comparative analysis in order to highlight the differences between the EOC, ECON and EMI methods. The EMI results are validated by comparison with different databases.
Keywords	catenas ; expert opinion ; land cover ; landscape ecology ; landscapes ; qualitative analysis ; Romania
Language	English
Dates of publication	2022-05
Publishing place	Elsevier B.V.
Document type	Article
ZDB-ID	519608-5
ISSN	1872-6887 ; 0008-7769 ; 0341-8162
ISSN (online)	1872-6887 ; 0008-7769
ISSN	0341-8162
DOI	10.1016/j.catena.2022.106091
Database	NAL-Catalogue (AGRICOLA)

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Article: Climate change perception in Romania.

Cheval, Sorin / Bulai, Ana / Croitoru, Adina-Eliza / Dorondel, Ștefan / Micu, Dana / Mihăilă, Dumitru / Sfîcă, Lucian / Tișcovschi, Adrian

Theoretical and applied climatology

2022 Volume 149, Issue 1-2, Page(s) 253–272

Abstract: In the last decades, anthropogenic drivers have significantly influenced the natural climate variability of Earth's atmosphere. Climate change has become a subject of major interest for different levels of our society, such as national governments, ... ...

Abstract	In the last decades, anthropogenic drivers have significantly influenced the natural climate variability of Earth's atmosphere. Climate change has become a subject of major interest for different levels of our society, such as national governments, businesses, local administration, or citizens. While national and local policies propose mitigation and adaptation strategies for different sectors, public perception is a key component of any implementation plan. This study investigates the CC perception in Romania, based on a national-scale online survey performed in the spring of 2020, aiming to outline the prominence of environmental and CC issues, level of information and interest, perceived causes, changes perceived in meteorological phenomena at the regional scale, perceived impacts, and the psychological representation of the CC. The study investigates single causal factors of perception. We found that particularly (i) the regional differences on climate change intensity strongly bias the perception of CC causes; (ii) age is very likely to influence the acceptance of CC, the importance of environmental issues, and the levels of information and interest; while (iii) age, gender, and place of residence (rural-urban) are very likely to control the changes perceived in the occurrence of various meteorological phenomena, and their impact. This research is the first statistically relevant analysis (± 4%, statistical significance) developed at national and regional scales and the only study of climate change perception performed during the COVID-19 pandemic in Romania. Its results may represent the baseline for more in-depth research. Supplementary information: The online version contains supplementary material available at 10.1007/s00704-022-04041-4.
Language	English
Publishing date	2022-04-13
Publishing country	Austria
Document type	Journal Article
ZDB-ID	1463177-5
ISSN	1434-4483 ; 0177-798X
ISSN (online)	1434-4483
ISSN	0177-798X
DOI	10.1007/s00704-022-04041-4
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Statistical Gap-Filling of SEVIRI Land Surface Temperature

Dumitrescu, Alexandru / Brabec, Marek / Cheval, Sorin

Remote Sensing. 2020 Apr. 30, v. 12, no. 9

2020

Abstract	A reliable and practically useable method for gap filling in hourly Spinning Enhanced Visible and Infrared Imager (SEVIRI LST) data using ERA5 Land Skin Temperature (ERA5ST) co-variate and additional easily accessible data (elevation, time, solar radiation info) is proposed. The suggested approach provides estimates to all weather conditions and it is based on a probabilistic model via modern regression models. We have tested two classes of regression models of different complexity and flexibility, namely multiple linear regression (MLR), and generalized additive model (GAM). This analysis uses as main input the hourly LST data set over Romania, through 2016 and 2017, extracted from MSG-SEVIRI images, which is an operational product of the Land Surface Analysis–Satellite Application Facility (LSA-SAF). The comparison between the estimated LST and the original LST values shows that GAM model, that takes into account the distance between missing LST locations and the nearest non-missing locations (GAM2), provides the best results, hence this was used to fill the gaps from the analyzed remote sensing product. Considering the fact that the best covariate (ERA5ST) has global coverage and it is available at high spatial resolution and temporal resolution, the proposed approach could be also used to perform the gap-filling of other existing LST remote sensing products.
Keywords	data collection ; probabilistic models ; regression analysis ; remote sensing ; skin temperature ; solar radiation ; surface temperature ; Romania
Language	English
Dates of publication	2020-0430
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ZDB-ID	2513863-7
ISSN	2072-4292
ISSN	2072-4292
DOI	10.3390/rs12091423
Database	NAL-Catalogue (AGRICOLA)

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