scholarly journals ClimateEU, scale-free climate normals, historical time series, and future projections for Europe

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Maurizio Marchi ◽  
Dante Castellanos-Acuña ◽  
Andreas Hamann ◽  
Tongli Wang ◽  
Duncan Ray ◽  
...  

AbstractInterpolated climate data have become essential for regional or local climate change impact assessments and the development of climate change adaptation strategies. Here, we contribute an accessible, comprehensive database of interpolated climate data for Europe that includes monthly, annual, decadal, and 30-year normal climate data for the last 119 years (1901 to 2019) as well as multi-model CMIP5 climate change projections for the 21st century. The database also includes variables relevant for ecological research and infrastructure planning, comprising more than 20,000 climate grids that can be queried with a provided ClimateEU software package. In addition, 1 km and 2.5 km resolution gridded data generated by the software are available for download. The quality of ClimateEU estimates was evaluated against weather station data for a representative subset of climate variables. Dynamic environmental lapse rate algorithms employed by the software to generate scale-free climate variables for specific locations lead to improvements of 10 to 50% in accuracy compared to gridded data. We conclude with a discussion of applications and limitations of this database.

Agromet ◽  
2011 ◽  
Vol 25 (1) ◽  
pp. 17
Author(s):  
Fadli Irsyad ◽  
Satyanto Krido Saptomo ◽  
Budi Indra Setiawan

<em>Climate change causes uncertainty in water availability. The change may include annual rainfall, evapotranspiration and the shift of rainy and dry seasons, thus, it affects hydrological response in the region. Water demand will increase over time with population, industrial and business growth but the water availability has not been ascertained to sustainably satisfy those needs.  Cidanau Watershed has wetland ecosystem so-called the Rawa Danau (Caldera), with an area of around 2,500 ha. This watershed receives average annual rainfall around 2,500 mm. Climate change especially the local climate in the region of Cidanau was analyzed to illustrate how the relationship with Cidanau river discharge. It is expected that climate change does not affect the water availability in the watershed. In this study, the analysis of local climate change and its impact on the availability of water resources on Cidanau Watershed was based on climate trends, water balance analysis, and estimation of  discharge of Cidanau Watershed. This research was carried out using climate data and discharge from 1996 until 2010. The results showed that climate variables have changed from 1996 to 2010. This change mainly occurred in temperature, annual rainfall, and evapotranspiration. Based on the analysis, the discharge of Cidanau Watershed will decrease due to changes in rainfall and evapotranspiration. The estimated minimum river discharge of Cidanau Watershed ranges from 0.5 to 1 m<sup>3</sup>/s until 2050.</em>


2016 ◽  
Vol 70 (1) ◽  
pp. 9-14 ◽  
Author(s):  
Hyunok Lee ◽  
Daniel A. Sumner

The impacts of climate change on agriculture depend on local conditions and crops grown. For instance, warmer winter temperatures in a given area would reduce chill hours, potentially cutting yields for some crops but extending the growing season for others. Using a century of climate data and six decades of acreage data, we established quantitative economic relationships between the evolution of local climate and acreage of 12 important crops in Yolo County. We then used the historical trend in climate change to project future crop acreages in the county. Only marginal changes in acreage in 2050 were projected for tree and vine crops there, in part because chill hours, although lower, remained above critical values. Walnuts were the most vulnerable tree crop, and the projections indicated some cultivars might be marginal in years with particularly warm winters. Processing tomato acreage might increase, due to a longer growing season, and also alfalfa acreage, if water availability and other factors remain constant.


2021 ◽  
Vol 165 (1-2) ◽  
Author(s):  
Isabell Haag ◽  
Karim-Aly Kassam ◽  
Thomas Senftl ◽  
Harald Zandler ◽  
Cyrus Samimi

AbstractIn mountain environments dimensions of climate change are unclear because of limited availability of meteorological stations. However, there is a necessity to assess the scope of local climate change, as the livelihood and food systems of subsistence-based communities are already getting impacted. To provide more clarity about local climate trends in the Pamir Mountains of Tajikistan, this study integrates measured climate data with community observations in the villages of Savnob and Roshorv. Taking a transdisciplinary approach, both knowledge systems were considered as equally pertinent and mutually informed the research process. Statistical trends of temperature and snow cover were retrieved using downscaled ERA5 temperature data and the snow cover product MOD10A1. Local knowledge was gathered through community workshops and structured interviews and analysed using a consensus index. Results showed, that local communities perceived increasing temperatures in autumn and winter and decreasing amounts of snow and rain. Instrumental data records indicated an increase in summer temperatures and a shortening of the snow season in Savnob. As both knowledge systems entail their own strengths and limitations, an integrative assessment can broaden the understanding of local climate trends by (i) reducing existing uncertainties, (ii) providing new information, and (iii) introducing unforeseen perspectives. The presented study represents a time-efficient and global applicable approach for assessing local dimensions of climate change in data-deficient regions.


Atmosphere ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 292 ◽  
Author(s):  
Ana Oliveira ◽  
António Lopes ◽  
Ezequiel Correia ◽  
Samuel Niza ◽  
Amílcar Soares

Lisbon is a European Mediterranean city, greatly exposed to heatwaves (HW), according to recent trends and climate change prospects. Considering the Atlantic influence, air temperature observations from Lisbon’s mesoscale network are used to investigate the interactions between background weather and the urban thermal signal (UTS) in summer. Days are classified according to the prevailing regional wind direction, and hourly UTS is compared between HW and non-HW conditions. Northern-wind days predominate, revealing greater maximum air temperatures (up to 40 °C) and greater thermal amplitudes (approximately 10 °C), and account for 37 out of 49 HW days; southern-wind days have milder temperatures, and no HWs occur. Results show that the wind direction groups are significantly different. While southern-wind days have minor UTS variations, northern-wind days have a consistent UTS daily cycle: a diurnal urban cooling island (UCI) (often lower than –1.0 °C), a late afternoon peak urban heat island (UHI) (occasionally surpassing 4.0 °C), and a stable nocturnal UHI (1.5 °C median intensity). UHI/UCI intensities are not significantly different between HW and non-HW conditions, although the synoptic influence is noted. Results indicate that, in Lisbon, the UHI intensity does not increase during HW events, although it is significantly affected by wind. As such, local climate change adaptation strategies must be based on scenarios that account for the synergies between potential changes in regional air temperature and wind.


2021 ◽  
pp. 100285
Author(s):  
Gloria C. Okafor ◽  
Isaac Larbi ◽  
Emmanuel C. Chukwuma ◽  
Clement Nyamekye ◽  
Andrew Manoba Limantol ◽  
...  

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