The global climate monitor system: from climate data-handling to knowledge dissemination

Naranjo, Juan Mariano Camarillo; Francoso, José Ignacio Álvarez; Limones-Rodríguez, Natalia; López, María Fernanda Pita; Alba, Mónica Aguilar

doi:10.1080/17538947.2018.1429502

Cited by 29 publications

(17 citation statements)

References 34 publications

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“…Annual runoff measurements followed a close relationship (data shown in the Supplement, Fig. S2) with the annual aridity index (Budyko, 1974) estimated at Sta.Clo following Arora (2002) as the ratio between potential evaporation and annual precipitation. On average, we found aridity indices of above 1 at both sites, indicating dry regions where the evaporative demand cannot be met by precipitation.…”

Section: Model Validationmentioning

confidence: 53%

“…The VIs provide information about the amount and condition of the vegetation (Jackson and Huete, 1991), while the LST describes the state of the surface and the partitioning of the available energy into sensible heat (H ) and latent heat (LE) or evapotranspiration (ET) (Kustas and Norman, 1996). SEBMs have been used to provide ET estimations over agriculture (Anderson et al, 2015;Allen et al, 2011;Cammalleri et al, 2012;Andreu et al, 2015;Gonzalez-Dugo et al, 2009 and agroforestry systems (Andreu, 2018a, b;Guzinski et al, 2018;Carpintero et al, 2016). In particular, the SEBS (Surface Energy Balance System) model (Su, 2002) presents a good compromise between the detailed parametrization of the turbulent heat fluxes for different states of the land surface and the minimization of the input requirements of the model without the need of local calibration.…”

Section: Introductionmentioning

confidence: 99%

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Long-term water stress and drought assessment of Mediterranean oak savanna vegetation using thermal remote sensing

González‐Dugo

Chen

Andreu

et al. 2021

Hydrol. Earth Syst. Sci.

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Abstract. Drought is a devastating natural hazard that is difficult to define, detect and quantify. The increased availability of both meteorological and remotely sensed data provides an opportunity to develop new methods to identify drought conditions and characterize how drought changes over space and time. In this paper, we applied the surface energy balance model, SEBS (Surface Energy Balance System), for the period 2001–2018, to estimate evapotranspiration and other energy fluxes over the dehesa area of the Iberian Peninsula, with a monthly temporal resolution and 0.05∘ pixel size. A satisfactory agreement was found between the fluxes modeled and the measurements obtained for 3 years by two flux towers located over representative sites (RMSD = 21 W m−2 and R2=0.76, on average, for all energy fluxes and both sites). The estimations of the convective fluxes (LE and H) showed higher deviations, with RMSD = 26 W m−2 on average, than Rn and G, with RMSD = 15 W m−2. At both sites, annual evapotranspiration (ET) was very close to total precipitation, with the exception of a few wet years in which intense precipitation events that produced high runoff were observed. The analysis of the anomalies of the ratio of ET to reference ET (ETo) was used as an indicator of agricultural drought on monthly and annual scales. The hydrological years 2004/2005 and 2011/2012 stood out for their negative values. The first one was the most severe of the series, with the highest impact observed on vegetation coverage and grain production. On a monthly scale, this event was also the longest and most intense, with peak negative values in January–February and April–May 2005, explaining its great impact on cereal production (up to 45 % reduction). During the drier events, the changes in the grasslands' and oak trees' ground cover allowed for a separate analysis of the strategies adopted by the two strata to cope with water stress. These results indicate that the drought events characterized for the period did not cause any permanent damage to the vegetation of dehesa systems. The approach tested has proven useful for providing insight into the characteristics of drought events over this ecosystem and will be helpful to identify areas of interest for future studies at finer resolutions.

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Section: Model Validationmentioning

confidence: 53%

Section: Introductionmentioning

confidence: 99%

Long-term water stress and drought assessment of Mediterranean oak savanna vegetation using thermal remote sensing

González‐Dugo

Chen

Andreu

et al. 2021

Hydrol. Earth Syst. Sci.

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“…This database provides a world historic series of monthly precipitation and temperature from January 1901 to December 2016 ( https://www.globalclimatemonitor.org/ ). Moreover, GCM allows data in cells of 0.5° × 0.5° latitude–longitude to be downloaded (Camarillo-Naranjo et al 2019 ), which generates a spatial resolution that enables the detection of regional climate differences. GCM was also used to climatically classify the years with available data on the number of infected people recorded in the antimalarial dispensaries (1931–1949), using 1901–1950 as the reference period.…”

Section: Methodsmentioning

confidence: 99%

Drivers of autochthonous and imported malaria in Spain and their relationship with meteorological variables

Sousa

Alba

Vetter³

et al. 2021

Euro-Mediterr J Environ Integr

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Since the early twentieth century, the intensity of malaria transmission has decreased sharply worldwide, although it is still an infectious disease with a yearly estimate of 228 million cases. The aim of this study was to expand our knowledge on the main drivers of malaria in Spain. In the case of autochthonous malaria, these drivers were linked to socioeconomic and hygienic and sanitary conditions, especially in rural areas due to their close proximity to the wetlands that provide an important habitat for anopheline reproduction. In the case of imported malaria, the main drivers were associated with urban areas, a high population density and international communication nodes (e.g. airports). Another relevant aspect is that the major epidemic episodes of the twentieth century were strongly influenced by war and military conflicts and overcrowding of the healthcare system due to the temporal overlap with the pandemic flu of 1918. Therefore, military conflicts and overlap with other epidemics or pandemics are considered to be drivers of malaria that can—in a temporary manner—exponentially intensify transmission of the disease. Climatic factors did not play a relevant role as drivers of malaria in Spain (at least directly). However, they did influence the seasonality of the disease and, during the epidemic outbreak of 1940–1944, the climate conditions favored or coadjuvated its spread. The results of this study provide additional knowledge on the seasonal and interannual variability of malaria that can help to develop and implement health risk control measures. Supplementary Information The online version contains supplementary material available at 10.1007/s41207-021-00245-8.

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“…Neset et al [10] reviewed map-based web tools and concluded that linking climate information directly to relevant adaptation measures would improve such tools, as they provide relevant adaptation information on their separate parts. In turn, Camarillo-Naranjo with colleagues [28] concluded that climate information can be considered common information that should be distributed, used by and benefit all. Finally, a tool that provides integrated vulnerability scores has been designed by Opach and Rød [9], concluding that complex visual interfaces might look "too scientific" for inexperienced users.…”

Section: Geovisualization Tools To Support the Implementation Of Adaptationmentioning

confidence: 99%

Vulnerability Visualization to Support Adaptation to Heat and Floods: Towards the EXTRA Interactive Tool in Norrköping, Sweden

et al. 2020

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Municipal actors are increasingly expected to consider climate adaptation in operative and strategic work. Here, digital environments can support strategic decisions and planning through visual representations of local climate risks and vulnerabilities. This study targets visualization of vulnerability to heat and floods as a means of supporting adaptation action in preschools, primary schools, caring units, and municipal residential buildings in Norrköping, Sweden. Workshops with sector leaders identified vulnerability indicators used as a basis for collecting, calculating and representing self-assessed vulnerability of individual units and buildings. Informed by user inputs, a map-based interactive visual tool representing resulting vulnerability scores and risk maps was developed to support (1) planners and sector leaders in strategic prioritization and investments, and (2) unit heads in identifying adaptation measures to reduce local flood and heat risks. The tool was tested with adaptation coordinators from targeted sectors. The study finds that the tool made it possible to overview climate risks and adaptation measures, which arguably increases general governance capacity Allowing yearly updates of set scores, the tool was also found to be useful for monitoring how vulnerability in the municipality evolves over time, and for evaluating how adaptive efforts influence calculated risks.

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The global climate monitor system: from climate data-handling to knowledge dissemination

Cited by 29 publications

References 34 publications

Long-term water stress and drought assessment of Mediterranean oak savanna vegetation using thermal remote sensing

Long-term water stress and drought assessment of Mediterranean oak savanna vegetation using thermal remote sensing

Drivers of autochthonous and imported malaria in Spain and their relationship with meteorological variables

Vulnerability Visualization to Support Adaptation to Heat and Floods: Towards the EXTRA Interactive Tool in Norrköping, Sweden

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