Institution
Colorado State University
Education•Fort Collins, Colorado, United States•
About: Colorado State University is a education organization based out in Fort Collins, Colorado, United States. It is known for research contribution in the topics: Population & Laser. The organization has 31430 authors who have published 69040 publications receiving 2724463 citations. The organization is also known as: CSU & Colorado Agricultural College.
Topics: Population, Laser, Radar, Poison control, Soil water
Papers published on a yearly basis
Papers
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TL;DR: In this article, the hydraulic conductivity of geosynthetic clay liners (GCLs) permeated with non-standard liquids (i.e., liquids other than water) is discussed and supported with test data.
453 citations
01 Dec 2004
TL;DR: In this article, an intermediate-complexity, quasi-physically based, meteorological model (MicroMet) is developed to produce high-resolution (e.g., 30-m to 1-km horizontal grid increment) atmospheric forcings required to run spatially distributed terrestrial models over a wide variety of landscapes.
Abstract: An intermediate-complexity, quasi–physically based, meteorological model (MicroMet) has been developed to produce high-resolution (e.g., 30-m to 1-km horizontal grid increment) atmospheric forcings required to run spatially distributed terrestrial models over a wide variety of landscapes. The following eight variables, required to run most terrestrial models, are distributed: air temperature, relative humidity, wind speed, wind direction, incoming solar radiation, incoming longwave radiation, surface pressure, and precipitation. To produce these distributions, MicroMet assumes that at least one value of each of the following meteorological variables are available for each time step, somewhere within, or near, the simulation domain: air temperature, relative humidity, wind speed, wind direction, and precipitation. These variables are collected at most meteorological stations. For the incoming solar and longwave radiation, and surface pressure, either MicroMet can use its submodels to generate these fields, or it can create the distributions from observations as part of a data assimilation procedure. MicroMet includes a preprocessor component that analyzes meteorological data, then identifies and corrects potential deficiencies. Since providing temporally and spatially continuous atmospheric forcing data for terrestrial models is a core objective of MicroMet, the preprocessor also fills in any missing data segments with realistic values. Data filling is achieved by employing a variety of procedures, including an autoregressive integrated moving average calculation for diurnally varying variables (e.g., air temperature). To create the distributed atmospheric fields, spatial interpolations are performed using the Barnes objective analysis scheme, and subsequent corrections are made to the interpolated fields using known temperature–elevation, wind–topography, humidity–cloudiness, and radiation–cloud–topography relationships.
453 citations
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University of California, Riverside1, Swiss Institute of Bioinformatics2, University of Geneva3, University of Notre Dame4, J. Craig Venter Institute5, University of Santiago de Compostela6, Iowa State University7, Colorado State University8, Harvard University9, Indiana University10, University of Barcelona11, Broad Institute12, University of Texas at Arlington13, University of Maryland, Baltimore14, Max Planck Society15, Liverpool School of Tropical Medicine16, Swedish University of Agricultural Sciences17, Hoffmann-La Roche18, Virginia Tech19, University of Wisconsin-Madison20, Kansas State University21, Auburn University22, University of A Coruña23, International Livestock Research Institute24, University of Maryland, College Park25, National Institutes of Health26, University of Illinois at Urbana–Champaign27, University of Göttingen28, Imperial College London29, University of Texas Medical Branch30, Johns Hopkins University31, University of California, Davis32, George Washington University33, Boston College34
TL;DR: The genomic sequence of C. quinquefasciatus is described, which reveals distinctions related to vector capacities and habitat preferences, and confirmed that inoculation with unfamiliar bacteria prompted strong immune responses in Culex.
Abstract: Culex quinquefasciatus (the southern house mosquito) is an important mosquito vector of viruses such as West Nile virus and St. Louis encephalitis virus, as well as of nematodes that cause lymphatic filariasis. C. quinquefasciatus is one species within the Culex pipiens species complex and can be found throughout tropical and temperate climates of the world. The ability of C. quinquefasciatus to take blood meals from birds, livestock, and humans contributes to its ability to vector pathogens between species. Here, we describe the genomic sequence of C. quinquefasciatus: Its repertoire of 18,883 protein-coding genes is 22% larger than that of Aedes aegypti and 52% larger than that of Anopheles gambiae with multiple gene-family expansions, including olfactory and gustatory receptors, salivary gland genes, and genes associated with xenobiotic detoxification.
452 citations
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University of Illinois at Chicago1, Montana State University2, Ohio State University3, University of Illinois at Urbana–Champaign4, Portland State University5, Institute of Arctic and Alpine Research6, University of Toledo7, Dartmouth College8, Colorado State University9, Denver Federal Center10, Desert Research Institute11, Ames Research Center12
TL;DR: Data from the dry valleys are presented representing evidence of rapid terrestrial ecosystem response to climate cooling in Antarctica, including decreased primary productivity of lakes and declining numbers of soil invertebrates, which poses challenges to models of climate and ecosystem change.
Abstract: The average air temperature at the Earth's surface has increased by 0.06 °C per decade during the 20th century1, and by 0.19 °C per decade from 1979 to 19982. Climate models generally predict amplified warming in polar regions3,4, as observed in Antarctica's peninsula region over the second half of the 20th century5,6,7,8,9. Although previous reports suggest slight recent continental warming9,10, our spatial analysis of Antarctic meteorological data demonstrates a net cooling on the Antarctic continent between 1966 and 2000, particularly during summer and autumn. The McMurdo Dry Valleys have cooled by 0.7 °C per decade between 1986 and 2000, with similar pronounced seasonal trends. Summer cooling is particularly important to Antarctic terrestrial ecosystems that are poised at the interface of ice and water. Here we present data from the dry valleys representing evidence of rapid terrestrial ecosystem response to climate cooling in Antarctica, including decreased primary productivity of lakes (6–9% per year) and declining numbers of soil invertebrates (more than 10% per year). Continental Antarctic cooling, especially the seasonality of cooling, poses challenges to models of climate and ecosystem change.
451 citations
Authors
Showing all 31766 results
Name | H-index | Papers | Citations |
---|---|---|---|
Mark P. Mattson | 200 | 980 | 138033 |
Stephen J. O'Brien | 153 | 1062 | 93025 |
Ad Bax | 138 | 486 | 97112 |
David Price | 138 | 1687 | 93535 |
Georgios B. Giannakis | 137 | 1321 | 73517 |
James Mueller | 134 | 1194 | 87738 |
Christopher B. Field | 133 | 408 | 88930 |
Steven W. Running | 126 | 355 | 76265 |
Simon Lin | 126 | 754 | 69084 |
Jitender P. Dubey | 124 | 1344 | 77275 |
Gregory P. Asner | 123 | 613 | 60547 |
Steven P. DenBaars | 118 | 1366 | 60343 |
Peter Molnar | 118 | 446 | 53480 |
William R. Jacobs | 118 | 490 | 48638 |
C. Patrignani | 117 | 1754 | 110008 |