657 results — topic: Weather & Atmospheric Science

Dataset

Global Daily Surface Blue-sky Albedo Climatology and Land Cover Climatology Dataset from 20-year MODIS Products (500m)

Only the first days of each month were uploaded to Zenodo due to the data storage limitation, and the full dataset is available at http://glass.umd.edu/albedo_clim/. Surface albedo plays a critical role in climate, hydrological, and biogeochemical modeling and weather forecasting. Therefore, precise

Aolin Jia, Dongdong Wang, Shunlin Liang2022DOI: 10.5281/zenodo.6359686
Dataset

Leaf gas exchange in Ipomopsis aggregata under manipulated snowmelt timing and summer precipitation

Vegetative traits of plants can respond directly to changes in the environment, such as those occurring under climate change. That phenotypic plasticity could be adaptive, maladaptive, or neutral. We manipulated the timing of spring snowmelt and amount of summer precipitation in factorial combinatio

Navarro, Jocelyn, Powers, John, Paul, Ayaka2022DOI: 10.7280/d12h50Cited 4 times
Dataset

A meteorology and snow dataset from adjacent forested and meadow sites at Crested Butte, CO, USA

This dataset contains meteorology and snow observation data collected at sites in the southwestern Colorado Rocky Mountains during water years 2019-2021. Data collection had an emphasis on paired open-forest sites and included three forested elevations. In total, we present 270 snow pit observations

Bonner, Hannah M., Smyth, Eric, Raleigh, Mark S.2022DOI: 10.5281/zenodo.6618553Cited 1 times
Dataset

ParFlow-CLM model simulation files for Maina et al., Journal of Hydrology, 2022

This dataset contains the files to run a ParFlow-CLM integrated hydrologic model simulation for Maina et al., HESS, 2022. It also contains the associated daily pressure output of those simulations. Simulations are for a hillslope-similarity approach based on seasonal groundwater changes in the East

Erica Woodburn, Fadji Maina, Haruko Wainwright2022DOI: 10.15485/1924605
Dataset

ParFlow-CLM model simulation files for Maina et al., Journal of Hydrology, 2022

This dataset contains the files to run a ParFlow-CLM integrated hydrologic model simulation for Maina et al., HESS, 2022. It also contains the associated daily pressure output of those simulations. Simulations are for a hillslope-similarity approach based on seasonal groundwater changes in the East

Erica Woodburn, Fadji Maina, Haruko Wainwright2022DOI: 10.15485/1924605
Dataset

ParFlow-CLM model simulation files for Maina et al., Journal of Hydrology, 2022

This dataset contains the files to run a ParFlow-CLM integrated hydrologic model simulation for Maina et al., HESS, 2022. It also contains the associated daily pressure output of those simulations. Simulations are for a hillslope-similarity approach based on seasonal groundwater changes in the East

Erica Woodburn, Fadji Maina, Haruko Wainwright2022DOI: 10.15485/1924605
Dataset

ParFlow-CLM model simulation files for Maina et al., Journal of Hydrology, 2022

This dataset contains the files to run a ParFlow-CLM integrated hydrologic model simulation for Maina et al., HESS, 2022. It also contains the associated daily pressure output of those simulations. Simulations are for a hillslope-similarity approach based on seasonal groundwater changes in the East

Erica Woodburn, Fadji Maina, Haruko Wainwright2022DOI: 10.15485/1924605
Dataset

ParFlow-CLM model simulation files for Maina et al., Journal of Hydrology, 2022

This dataset contains the files to run a ParFlow-CLM integrated hydrologic model simulation for Maina et al., HESS, 2022. It also contains the associated daily pressure output of those simulations. Simulations are for a hillslope-similarity approach based on seasonal groundwater changes in the East

Erica Woodburn, Fadji Maina, Haruko Wainwright2022DOI: 10.15485/1924605
Dataset

Sulfur x-ray absorption spectroscopy data from bedrock shale, soil, and floodplain sediment from the East River, Colorado watershed.

This dataset includes sulfur x-ray absorption near edge spectroscopy (XANES) data collected on solid samples as a part of the Watershed Function Scientific Focus Area (SFA) located in the Upper Colorado River Basin. The data were collected in order to investigate the speciation of sulfur and degree

Fox, P, Carrero, S, Anderson, C2022DOI: 10.15485/1860454Cited 1 times
Dataset

Stable isotopes of carbon dioxide (CO2), dissolved inorganic carbon (DIC), water and concentrations of greenhouse gases in a mountainous watershed (Crested Butte, Colorado).

Temperature and precipitation variability in response to climate change affects water cycling of watersheds and can potentially impact water quality, water availability, elemental and molecular fluxes, and biogeochemical processes. Here we report the measurements of light stable isotopes and greenho

Bill, M2022DOI: 10.15485/1861892
Dataset

Data-model files associated with the manuscript "The Effects of Spatial and Temporal Resolution of Gridded Meteorological Forcing on Watershed Hydrological Responses"

This data package contains the model inputs and outputs used in "The Effects of Spatial and Temporal Resolution of Gridded Meteorological Forcing on Watershed Hydrological Responses" (Shuai et al., 2022 HESS). The data.zip file contains the data used to drive the model simulations. The model.zip fil

Shuai, P, Chen, X, Mital, U2022DOI: 10.15485/1861432
Dataset

QA/QC-ed Groundwater Level Time Series in PLM-1 and PLM-6 Monitoring Wells, East River, Colorado

Performed Quality Assurance and Quality Control (QA/QC) analysis of measured groundwater levels in monitoring wells PLM-1 and PLM-6, including identification and flagging of duplicated values of timestamps, gap filling of missing timestamps and water levels, removal of abnormal/bad and outliers of m

Faybishenko, B, Versteeg, R2022DOI: 10.15485/1866836
Dataset

Machine Learning Assisted Gap-Filled Discharge Data for the East River Community Watershed, Colorado, for Water Years 2014-2021

This dataset contains a collection of machine learning assisted gap-filled discharge data created for all discharge stations across the East River Watershed, Colorado. This data was generated by using raw discharge data collected by Rosemary Carroll, and conducting a random forest machine learning a

Michelle Newcomer, Carroll Rosemary, Kenneth Williams2022DOI: 10.15485/1868939Cited 1 times
Dataset

WRF Large-Eddy Simulation Data from Realtime Runs Used to Support UAS Operations during LAPSE-RATE

Realtime micro-scale weather simulations were performed to support UAV (Uncrewed Aerial Vehicle) flights during the ISARRA Lower Atmospheric Process Studies at Elevation a Remotely-piloted Aircraft Team Experiment (LAPSE-RATE) field deployment. These simulations were performed by driving a nested gr

Pinto, James, Jimenez, Pedro, Hertneky, Tracey2021DOI: 10.5065/83r2-0579
Dataset

Talus Surface & Subsurface Temperature Data from Oregon & Colorado, USA, 2011-2019

Between 2011 and 2019, temperature data loggers were buried in rocky talus patches (hereafter “sites”) potentially occupied by American pikas (Ochotona princeps). Data collection spanned three ecoregions: Grand Mesa, Colorado (GRME), Mt. Hood, Oregon (MTHO), and the Columbia River Gorge, Oregon (CRG

Varner, Johanna2021DOI: 10.6073/pasta/587086c613040697e0a25ba50c7379fb
Student Paper

Caddisfly Larval growth and Development as Functions of Temperature Fluctuations During Pond Drying.

Smith M.2015
Student Paper

Effects of Weather on Mountain White-Crowned Sparrow Reproductive Success

Putnam E.2015
Student Paper

Relative Strengths of Spatial and Temporal Variation in Precipitation on Specific Leaf Area.

Midzik M.2014
Article

Which is a better predictor of plant traits: temperature or precipitation?

AbstractQuestionAre plant traits more closely correlated with mean annual temperature, or with mean annual precipitation?LocationGlobal.MethodsWe quantified the strength of the relationships between temperature and precipitation and 21 plant traits from 447,961 species‐site combinations worldwide. W

Moles A. T., Perkins S. E., Blonder B.2014Journal of Vegetation ScienceDOI: 10.1111/jvs.12190Cited 464 times
Document

Factors to Consider in Developing Management Strategies and Remedial Treatments to Enhance Wildlife Habitats

Factors to Consider in Developing Management Strategies and Remedial Treatments to Enhance Wildlife Habitats Define Areas of Concern Define the target areas including surrounding sites that could be impacted. As possible, map the soil types, topographic features, and precipitation zones that occur t