Dana Micu

Dr. Dana Micu

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Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

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

Representative Publications

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22 July 2009 in Meteorology and Atmospheric Physics
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Journal Article
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DMDana Micu
Dana Micu

1 January 2015
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Book
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DMDana Micu
Dana Micu
ADAlexandru Dumitrescu
Alexandru Dumitrescu
Sorin ChevalSorin Cheval
Sorin Cheval
MBMarius-Victor Birsan
Marius-Victor Birsan

15 June 2014 in Natural Hazards
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Journal Article
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MBMarius-Victor Birsan
Marius-Victor Birsan
ADAlexandru Dumitrescu
Alexandru Dumitrescu
DMDana Micu
Dana Micu
Sorin ChevalSorin Cheval
Sorin Cheval

24 February 2021 in Theoretical and Applied Climatology
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Journal Article
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DMDana Micu
Dana Micu
VAVlad Amihaesei
Vlad Amihaesei
NMNarcisa Milian
Narcisa Milian
Sorin ChevalSorin Cheval
Sorin Cheval

2 July 2015 in Earth Perspectives
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Journal Article
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Mihaela SimaMihaela Sima
Mihaela Sima
EPElena-Ana Popovici
Elena-Ana Popovici
DBDan Bălteanu
Dan Bălteanu
DMDana Micu
Dana Micu
GKGheorghe Kucsicsa
Gheorghe Kucsicsa
IGInes Grigorescu
Ines Grigorescu
The paper has in view the assessment of the impact of climate change on agriculture in the main agricultural region of Romania (Bărăgan Plain), by understanding the contextual socio-economic factors of agriculture in the area as a key step towards climate adaptation, but also through identifying the user needs, awareness and requirements in terms of climate information. A special attention was given to the analysis of the changes in the socio-economic and political context of Romania since 1989, the post-communist period, marked by fundamental transformations in agriculture, with collective and state property being replaced by private property. The poor development of the productive services in agriculture resulted in the degradation of land’s productive potential and the intensification the adverse effects of extreme climatic phenomena, proving a strong dependency of crop yields and productivity on climate. The mid-term (2021–2050) and long-term (2071–2100) climate variability and change of some key variables affecting crop development (air temperature, precipitation, evapotranspiration), under different scenarios have been investigated in relation to the potential impacts on main crops. A set of relevant climate extreme and agro-meteorological indices was further used to estimate the potential climate change impacts on agriculture. The study was focused on the interaction with farmers, the main actors of the climate adaptation process in the area, aiming to evaluate their perception and response to climate change. The research approach was mainly done through face-to-face interviews, as farmers did not respond positively to organised meetings. An important difference was noticed in terms of adaptive capacity between the large farms with a high adaptive capacity and low subsistence farms (family-run farms), the most vulnerable category to both socio-economic and climate change. The main climate adaptation measure considered crucial by the farmers is the rehabilitation/construction of irrigation systems. The study provides useful scientific insights which could improve the understanding of farmers and decision-makers on the potential impacts of the future climate change on crops, but also to mainstream climate adaptation actions in the agriculture policy.

25 February 2020 in Climate
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Sorin ChevalSorin Cheval
Sorin Cheval
DMDana Micu
Dana Micu
ADAlexandru Dumitrescu
Alexandru Dumitrescu
AIAnisoara Irimescu
Anisoara Irimescu
MFMaria Frighenciu
Maria Frighenciu
Bogdan AntonescuBogdan Antonescu
Bogdan Antonescu
An increasing plethora of both meteorological and ancillary data are presently available for climate research and applications in urban areas. The data are often held by local or national institutions (i.e., meteorological services, universities or environmental agencies). This paper outlines a total number of 33 datasets, organized into three main categories of meteorological data resources (14 datasets) and four categories of ancillary data resources (19 datasets), selected for their potential to support urban climate studies, but also for their free accessibility. Such a collection cannot be exhaustive, but we aim to draw the attention of the scientific community to relevant datasets, freely available at temporal and spatial resolutions appropriate for urban climatology. Each dataset contains information about its availability, limitations, and examples of research in urban areas.