Simultaneous estimation of daily solar radiation and humidity from observed temperature and precipitation: an application over complex terrain in Austria

Thornton, P. E.; Hasenauer, Hubert; White, Michael A.

doi:10.1016/s0168-1923(00)00170-2

Cited by 347 publications

(228 citation statements)

References 15 publications

Supporting

Mentioning

217

Contrasting

Unclassified

Order By: Relevance

“…Climate data used in this study were derived from Daymet, a collection of algorithms and computer software designed to interpolate and extrapolate daily meteorological observations at weather stations to produce gridded estimates of daily weather parameters (Thornton et al 1997, Thornton et al 1999, Thornton et al 2000. Daymet raster layers were derived from the native NetCDF file format in ArcGIS and were clipped using 2500-meter buffers surrounding case-control locations using the Buffer and Intersect tools.…”

Section: Climatementioning

confidence: 99%

Environmental, Climatic, and Residential Neighborhood Determinants of Feline Tularemia

Raghavan

Harrington²,

Anderson³

et al. 2013

Vector-Borne and Zoonotic Diseases

View full text Add to dashboard Cite

Background: Tularemia, caused by a Gram-negative bacterium Francisella tularensis, is an occasional disease of cats in the midwestern United States and a public health concern due to its zoonotic potential. Different environmental, climatic, and pet-owner's housing and socioeconomic conditions were evaluated as potential risk factors for feline tularemia using Geographic Information Systems (GIS) in a retrospective case-control study. Methods: The study included 46 cases identified as positive for tularemia based upon positive immunohistochemistry, isolation of F. tularensis using bacterial culture, and 4-fold or greater change in serum antibody titer for F. tularensis. Cats with a history of fever, malaise, icterus, and anorexia but no lesions characteristic of tularemia and/or negative immunohistochemistry, no isolation of bacteria in bacterial culture, and less than 4-fold raise in serum antibody titer for F. tularensis were treated as controls (n = 93). Candidate geospatial variables from multiple thematic sources were analyzed for association with case status. Variables from National Land Cover Dataset, Soil Survey Geographic Database, US Census Bureau, and Daymet were extracted surrounding geocoded case-control household locations. Univariable screening of candidate variables followed by stepwise multivariable logistic modeling and odds ratios were used to identify strengths of variable associations and risk factors. Results: Living in a residence located in newly urbanized/suburban areas, residences surrounded by areas dominated by grassland vegetation, and mean vapor pressure conditions recorded during the 8 th week prior to case arrival at the hospital are significant risk factors for feline tularemia. Conclusions: Prevention strategies such as acaricide applications in residential backyards during spring and early summer periods and any behavior modifications suitable for cats that will prevent them from contracting infection from ticks or dead animals are necessary. Mean vapor pressure conditions recorded during the 8

show abstract

Section: Climatementioning

confidence: 99%

Environmental, Climatic, and Residential Neighborhood Determinants of Feline Tularemia

Raghavan

Harrington²,

Anderson³

et al. 2013

Vector-Borne and Zoonotic Diseases

View full text Add to dashboard Cite

show abstract

“…Climatic influences are difficult to assess in mountainous areas, however, because complex topography produces steep gradients in the biophysical environment, and climatemonitoring stations are sparsely distributed, particularly at the highest elevations. (Thornton et al, 2000;Daly et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

Forest ecosystems, disturbance, and climatic change in Washington State, USA

et al. 2010

View full text Add to dashboard Cite

C limatic change is likely to affect Pacific Northwest (PNW) forests in several important ways. In this paper, we address the role of climate in four forest ecosystem processes and project the effects of future climatic change on these processes. First, we analyze how climate affects Douglas-fir growth across the region to understand potential changes in future growth. In areas where Douglas-fir is not water-limited, future growth will continue to vary with interannual climate variability, but in places where Douglas-fir is water-limited, growth is likely to decline due to projected increase in summer potential evapotranspiration. Second, we use existing analyses of climatic controls on future potential tree species ranges to highlight areas where species turnover may be greatest. By the mid 21 st century, some areas of the interior Columbia Basin and eastern Cascades are likely to have climates poorly suited to pine species that are susceptible to mountain pine beetle, and if these pines are climatically stressed, they may be more vulnerable to pine beetle attack. Climatic suitability for Douglas-fir is also likely to change, with substantial decreases in climatically suitable area in the Puget Trough and the Okanogan Highlands. Third, using regression approaches, we examine the relationships between climate and the area burned by fire in the PNW and in eight Washington ecosystems and project future area burned in response to changing climate. Area burned is significantly related to both temperature and precipitation in summer, but more physiologically relevant variables, such as water balance deficit, perform as well or better in models. Regional area burned is likely to double or even triple by the end of the 2040s, although Washington ecosystems have different sensitivities to climate and thus different responses to climatic change. Fourth, we evaluate the influence of climatic change on mountain pine beetle (MPB) outbreaks by quantifying both host-tree vulnerability and pine beetle adaptive seasonality. Host-tree vulnerability is closely related to vapor pressure deficit (VPD), and future projections support the hypothesis that summer VPD will increase over a significant portion of the range of host tree species. Due to the increased host 255vulnerability, MPB populations are expected to become more viable at higher elevations leading to increased incidence of MPB outbreaks. The increased rates of disturbance by fire and mountain pine beetle are likely to be more significant agents of changes in forest structure and composition in the 21st century than species turnover or declines in productivity. This suggests that understanding future disturbance regimes is critical for successful adaptation to climate change.

show abstract

“…113819'W, elevation 846 m), but these may not accurately reflect the precipitation at the research site. Daily solar radiation was calculated using the Mountain Climate Simulator (Thornton et al 2000). Soil organic carbon, bulk density and fractions of sand, silt and clay at depths of 0 to 5, 5 to 15, 15 to 30, 30 to 45, 45 to 60, 60 to 90, 90 to 120, 120 to 150, 150 to 180 and 180 to 210 cm are calculated based on observation (Table 1) using linear interpolation and setting values for depths lower than 110 cm equal to the 80Á 110 cm layer.…”

Section: Modification Calibration and Simulationsmentioning

confidence: 99%

Improving SHAW long-term soil moisture prediction for continuous wheat rotations, Alberta, Canada

Wang¹,

Flerchinger²,

Lemke³

et al. 2010

Can. J. Soil. Sci.

View full text Add to dashboard Cite

Sprout, C. 2010. Improving SHAW long-term soil moisture prediction for continuous wheat rotations, Alberta, Canada. Can. J. Soil Sci. 90: 37Á53. The Decision Support System for Agrotechnology Transfer-Cropping System Model (DSSAT-CSM) is a widely used modeling package that often simulates wheat yield and biomass well. However, some previous studies reported that its simulation on soil moisture was not always satisfactory. On the other hand, the Simultaneous Heat and Water (SHAW) model, a more sophisticated, hourly time step soil microclimate model, needs inputs of plant canopy development over time, which are difficult to measure in the field especially for a long-term period (longer than a year). The SHAW model also needs information on surface residue, but treats them as constants. In reality, however, surface residue changes continuously under the effect of tillage, rotation and environment. We therefore proposed to use DSSAT-CSM to simulate dynamics of plant growth and soil surface residue for input into SHAW, so as to predict soil water dynamics. This approach was tested using three conventionally tilled wheat rotations (continuous wheat, wheat-fallow and wheat-wheat-fallow) of a long-term cropping systems study located on a Thin Black Chernozemic clay loam near Three Hills, Alberta, Canada. Results showed that DSSAT-CSM often overestimated the drying of the surface layers in wheat rotations, but consistently overestimated soil moisture in the deep soil. This is likely due to the underestimation of root water extraction despite model predictions that the root system reached 80 cm. Among the eight growth/residue parameters simulated by DSSAT-CSM, root depth, leaf area index and residue thickness are the most influential characteristics on the simulation of soil moisture by SHAW. The SHAW model using DSSAT-CSM-simulated information significantly improved prediction of soil moisture at different depths and total soil water at 0Á120 cm in all rotations with different phases compared with that simulated by DSSAT-CSM.Key words: Soil moisture, modeling, Decision Support System for Agrotechnology Transfer-Cropping System Model, Simultaneous Heat and Water ModelWang, H., Flerchinger, G. N., Lemke, R., Brandt, K., Goddard, T. et Sprout, C. 2010. Ame´lioration du mode`le SHAW pour la pre´vision a`long terme de la teneur en eau du sol avec la monoculture du ble´en Alberta (Canada). Can. J. Soil Sci. 90: 37Á53. Le Decision Support System for Agrotechnology Transfer-Cropping System Model (DSSAT-CSM) est un mode`le largement utilise´qui simule souvent bien le rendement et la biomasse du ble´. Quelques e´tudes ante´rieures rapportaient ne´anmoins que ce mode`le ne simule pas toujours de manie`re satisfaisante la teneur en eau du sol. De son coˆte´, le mode`le SHAW (Simultaneous Heat and Water), qui simule de manie`re plus complexe le microclimat du sol d'heure en heure, a besoin de donne´es sur le de´veloppement de la ve´ge´tation dans le temps, donne´es difficiles a`obtenir sur le terrain, surtout sur de longues pe´riode...

show abstract

Simultaneous estimation of daily solar radiation and humidity from observed temperature and precipitation: an application over complex terrain in Austria

Cited by 347 publications

References 15 publications

Environmental, Climatic, and Residential Neighborhood Determinants of Feline Tularemia

Environmental, Climatic, and Residential Neighborhood Determinants of Feline Tularemia

Forest ecosystems, disturbance, and climatic change in Washington State, USA

Improving SHAW long-term soil moisture prediction for continuous wheat rotations, Alberta, Canada

Contact Info

Product

Resources

About