Very high resolution interpolated climate surfaces for global land areas

Published on Dec 1, 2005in International Journal of Climatology3.60
· DOI :10.1002/joc.1276
Robert J. Hijmans40
Estimated H-index: 40
(Museum of Vertebrate Zoology),
Susan E. Cameron9
Estimated H-index: 9
(UQ: University of Queensland)
+ 2 AuthorsAndy Jarvis35
Estimated H-index: 35
(CIAT: International Center for Tropical Agriculture)
We developed interpolated climate surfaces for global land areas (excluding Antarctica) at a spatial resolution of 30 arc s (often referred to as 1-km spatial resolution). The climate elements considered were monthly precipitation and mean, minimum, and maximum temperature. Input data were gathered from a variety of sources and, where possible, were restricted to records from the 1950–2000 period. We used the thin-plate smoothing spline algorithm implemented in the ANUSPLIN package for interpolation, using latitude, longitude, and elevation as independent variables. We quantified uncertainty arising from the input data and the interpolation by mapping weather station density, elevation bias in the weather stations, and elevation variation within grid cells and through data partitioning and cross validation. Elevation bias tended to be negative (stations lower than expected) at high latitudes but positive in the tropics. Uncertainty is highest in mountainous and in poorly sampled areas. Data partitioning showed high uncertainty of the surfaces on isolated islands, e.g. in the Pacific. Aggregating the elevation and climate data to 10 arc min resolution showed an enormous variation within grid cells, illustrating the value of high-resolution surfaces. A comparison with an existing data set at 10 arc min resolution showed overall agreement, but with significant variation in some regions. A comparison with two high-resolution data sets for the United States also identified areas with large local differences, particularly in mountainous areas. Compared to previous global climatologies, ours has the following advantages: the data are at a higher spatial resolution (400 times greater or more); more weather station records were used; improved elevation data were used; and more information about spatial patterns of uncertainty in the data is available. Owing to the overall low density of available climate stations, our surfaces do not capture of all variation that may occur at a resolution of 1 km, particularly of precipitation in mountainous areas. In future work, such variation might be captured through knowledgebased methods and inclusion of additional co-variates, particularly layers obtained through remote sensing. Copyright  2005 Royal Meteorological Society.
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John Wieczorek15
Estimated H-index: 15
(University of California, Berkeley),
Qinghua Guo30
Estimated H-index: 30
(University of California, Berkeley),
Robert J. Hijmans40
Estimated H-index: 40
(University of California, Berkeley)
Natural history museums store millions of specimens of geological, biological, and cultural entities. Data related to these objects are in increasing demand for investigations of biodiversity and its relationship to the environment and anthropogenic disturbance. A major barrier to the use of these data in GIS is that collecting localities have typically been recorded as textual descriptions, without geographic coordinates. We describe a method for georeferencing locality descriptions that accoun...
Published on May 1, 2005in International Journal of Climatology3.60
Timothy D. Mitchell11
Estimated H-index: 11
(UEA: University of East Anglia),
Philip D Jones123
Estimated H-index: 123
(UEA: University of East Anglia)
A database of monthly climate observations from meteorological stations is constructed. The database includes six climate elements and extends over the global land surface. The database is checked for inhomogeneities in the station records using an automated method that refines previous methods by using incomplete and partially overlapping records and by detecting inhomogeneities with opposite signs in different seasons. The method includes the development of reference series using neighbouring ...
Published on Jun 1, 2004in Ecography5.95
Juan L. Parra16
Estimated H-index: 16
(University of California, Berkeley),
Catherine C. Graham1
Estimated H-index: 1
Juan F. Freile4
Estimated H-index: 4
Ecological niche modeling (ENM) is an effective tool for providing innovative insights to questions in evolution, ecology and conservation. As environmental datasets accumulate, modelers need to evaluate the relative merit of different types of data for ENM. We used three alternative environmental data sets: climatic data, remote-sensing data (Normalized Difference Vegetation Index), and elevation data, to model the distribution of six bird species of the genus Grallaria in the Ecuadorian Andes....
Published on Jan 1, 2004
Andy Jarvis35
Estimated H-index: 35
Jorge Rubiano1
Estimated H-index: 1
+ 2 AuthorsMark Mulligan29
Estimated H-index: 29
('KCL': King's College London)
Published on Jun 1, 2003in Agricultural Systems4.13
Robert J. Hijmans40
Estimated H-index: 40
(CIP: International Potato Center),
Bruno Condori8
Estimated H-index: 8
+ 1 AuthorsM.J. Kropff43
Estimated H-index: 43
(WUR: Wageningen University and Research Centre)
Abstract A quantitative and constraint-specific approach to assess the potential impact of new agricultural technology is described and applied to frost resistant potato cultivars for the Altiplano (Peru and Bolivia). The approach uses geo-referenced databases and a simulation model. Calculations are made for small grid cells, and no arbitrary delimitation of agroecological zones is needed. The LINTUL potato growth simulation model was adapted to incorporate the effect of frost damage on yield. ...
Published on Jan 1, 2002in Climate Research1.98
Mark New40
Estimated H-index: 40
(University of Oxford),
David Lister23
Estimated H-index: 23
(Climatic Research Unit)
+ 1 AuthorsIan W. Makin10
Estimated H-index: 10
(IWMI: International Water Management Institute)
We describe the construction of a 10' latitude/longitude data set of mean monthly sur- face climate over global land areas, excluding Antarctica. The climatology includes 8 climate ele- ments —precipitation, wet-day frequency, temperature, diurnal temperature range, relative humid- ity, sunshine duration, ground frost frequency and windspeed—and was interpolated from a data set of station means for the period centred on 1961 to 1990. Precipitation was first defined in terms of the parameters of ...
Published on Jan 1, 2002in Climate Research1.98
Christopher Daly28
Estimated H-index: 28
(OSU: Oregon State University),
Wayne Gibson7
Estimated H-index: 7
+ 2 AuthorsPhillip Pasteris2
Estimated H-index: 2
The demand for spatial climate data in digital form has risen dramatically in recent years. In response to this need, a variety of statistical techniques have been used to facilitate the pro- duction of GIS-compatible climate maps. However, observational data are often too sparse and unrepresentative to directly support the creation of high-quality climate maps and data sets that truly represent the current state of knowledge. An effective approach is to use the wealth of expert knowl- edge on t...
Published on Jun 1, 2001in Journal of Applied Meteorology
Claire Jarvis12
Estimated H-index: 12
Neil Stuart11
Estimated H-index: 11
Abstract In a comparative experiment, the sequence of daily maximum and minimum temperatures for 1976 was interpolated over England and Wales to a resolution of 1 km using partial thin plate splines, ordinary kriging, trend surface, and an automatic inverse-distance-weighted method of interpolation. A “level playing field” for comparing the estimation accuracies was established through the incorporation of a consistent set of guiding variables in all interpolators. Once variables were included t...
Published on Mar 1, 1999in Journal of Climate4.80
Mark New40
Estimated H-index: 40
Mike Hulme74
Estimated H-index: 74
(UEA: University of East Anglia),
Philip D Jones123
Estimated H-index: 123
(UEA: University of East Anglia)
Abstract The construction of a 0.5° lat × 0.5° long surface climatology of global land areas, excluding Antarctica, is described. The climatology represents the period 1961–90 and comprises a suite of nine variables: precipitation, wet-day frequency, mean temperature, diurnal temperature range, vapor pressure, sunshine, cloud cover, ground frost frequency, and wind speed. The climate surfaces have been constructed from a new dataset of station 1961–90 climatological normals, numbering between 19...
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Published on Dec 1, 2019
Benedictus Freeman1
Estimated H-index: 1
(KU: University of Kansas),
Daniel Jiménez-García4
Estimated H-index: 4
(BUAP: Benemérita Universidad Autónoma de Puebla)
+ 1 AuthorsMatthew Grainger6
Estimated H-index: 6
(Newcastle University)
Background Understanding geographic distributions of species is a crucial step in spatial planning for biodiversity conservation, particularly as regards changes in response to global climate change. This information is especially important for species of global conservation concern that are susceptible to the effects of habitat loss and climate change. In this study, we used ecological niche modeling to assess the current and future geographic distributional potential of White-breasted Guineafo...
Published on Mar 20, 2019in Nature Communications11.88
Victor Danneyrolles3
Estimated H-index: 3
(Université du Québec à Rimouski),
Sébastien Dupuis3
Estimated H-index: 3
(Université du Québec à Rimouski)
+ 8 AuthorsYves Bergeron76
Estimated H-index: 76
(UQAT: Université du Québec en Abitibi-Témiscamingue)
Predicting future ecosystem dynamics depends critically on an improved understanding of how disturbances and climate change have driven long-term ecological changes in the past. Here we assembled a dataset of >100,000 tree species lists from the 19th century across a broad region (>130,000km2) in temperate eastern Canada, as well as recent forest inventories, to test the effects of changes in anthropogenic disturbance, temperature and moisture on forest dynamics. We evaluate changes in forest co...
Published on Dec 1, 2019in Nature Communications11.88
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Estimated H-index: 2
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Tony Kess (Fisheries and Oceans Canada)+ 7 AuthorsIan Bradbury36
Estimated H-index: 36
(Dal: Dalhousie University)
Global losses of biodiversity are occurring at an unprecedented rate, but causes are often unidentified. Genomic data provide an opportunity to isolate drivers of change and even predict future vulnerabilities. Atlantic salmon (Salmo salar) populations have declined range-wide, but factors responsible are poorly understood. Here, we reconstruct changes in effective population size (Ne) in recent decades for 172 range-wide populations using a linkage-based method. Across the North Atlantic, Ne ha...
Published on May 17, 2019in Ecological processes
Daniel Escoriza10
Estimated H-index: 10
(University of Girona),
Axel Hernandez
Background Island species are vulnerable to rapid extinction, so it is important to develop accurate methods to determine their occurrence and habitat preferences. In this study, we assessed two methods for modeling the occurrence of the Corsican endemic Salamandra corsica, based on macro-ecological and fine habitat descriptors. We expected that models based on habitat descriptors would better estimate S. corsica occurrence, because its distribution could be influenced by micro-environmental gra...
Published on Aug 1, 2019in Organic Geochemistry3.12
Karen J. Wang1
Estimated H-index: 1
Jonathan A. O'Donnell + 4 AuthorsYongsong Huang54
Estimated H-index: 54
Abstract The Espenberg maar lakes on the Seward Peninsula, Alaska, are the largest volcanic crater lakes in the world and contain the longest known lacustrine sedimentary archives in Alaska. The lack of glacial-aged marine sedimentary archives around the Bering Land Bridge due to exposure of the shelf during sea level low-stands makes these lakes highly valuable for understanding the region’s past climate and environmental changes. Located en route to humanity’s last colonized American continent...
Published on Feb 28, 2019in Scientific Reports4.01
Luís Miguel Rosalino15
Estimated H-index: 15
(University of Aveiro),
Diana Guedes1
Estimated H-index: 1
(University of Aveiro)
+ 9 AuthorsXosé Pardavila4
Estimated H-index: 4
(University of Santiago de Compostela)
Human-Induced Rapid Environmental Change (HIREC), particularly climate change and habitat conversion, affects species distributions worldwide. Here, we aimed to (i) assess the factors that determine range patterns of European badger (Meles meles) at the southwestern edge of their distribution and (ii) forecast the possible impacts of future climate and landcover changes on those patterns. We surveyed 272 cells of 5 × 5 km, to assess badger presence and confirmed its occurrence in 95 cells (35%)....
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Estimated H-index: 28
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+ 4 AuthorsBethan V. Purse22
Estimated H-index: 22
Culicoides-borne arboviruses of livestock impair animal health, livestock production and livelihoods worldwide. As these arboviruses are multi-host, multi-vector systems, predictions to improve targeting of disease control measures require frameworks that quantify the relative impacts of multiple abiotic and biotic factors on disease patterns. We develop such a framework to predict long term (1992–2009) average patterns in bluetongue (BT), caused by bluetongue virus (BTV), in sheep in southern I...
Published on May 23, 2019in Scientific Reports4.01
Steve W. Lindsay35
Estimated H-index: 35
(Lond: University of London),
Musa Jawara30
Estimated H-index: 30
(Lond: University of London)
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In The Gambia, metal-roof houses were hotter during the day than thatched-roof houses. After 24 h, the mortality of Anopheles gambiae, the principal African malaria vector, was 38% higher in metal-roof houses than thatched ones. During the day, mosquitoes in metal-roof houses moved from the hot roof to cooler places near the floor, where the temperature was still high, reaching 35 °C. In laboratory studies, at 35 °C few mosquitoes survived 10 days, the minimum period required for malaria parasit...
Published on Feb 12, 2019in Nature Communications11.88
Matthew C. Fitzpatrick19
Estimated H-index: 19
(UMD: University of Maryland, College Park),
Robert R. Dunn33
Estimated H-index: 33
(NCSU: North Carolina State University),
Robert R. Dunn1
Estimated H-index: 1
(NCSU: North Carolina State University)
A major challenge in articulating human dimensions of climate change lies in translating global climate forecasts into impact assessments that are intuitive to the public. Climate-analog mapping involves matching the expected future climate at a location (e.g., a person’s city of residence) with current climate of another, potentially familiar, location - thereby providing a more relatable, place-based assessment of climate change. For 540 North American urban areas, we used climate-analog mappi...
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