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On The Relationship Between Spring Nao And Snowmelt In The Upper Southwestern United States, Boksoon Myoung, Seung Hee Kim, Jinwon Kim, Menas Kafatos 2017 APEC Climate Center

On The Relationship Between Spring Nao And Snowmelt In The Upper Southwestern United States, Boksoon Myoung, Seung Hee Kim, Jinwon Kim, Menas Kafatos

Mathematics, Physics, and Computer Science Faculty Articles and Research

This study examines the relationship between the North Atlantic Oscillation (NAO) and snowmelt in spring in the upper southwestern states of the United States (UP_SW) including California, Nevada, Utah, and Colorado, using SNOTEL datasets for 34 yr (1980–2014). Statistically significant negative correlations are found between NAO averages in the snowmelt period and timings of snowmelt (i.e., positive NAO phases in spring enhance snowmelt, and vice versa). It is also found that correlations between El Niño–Southern Oscillation and snowmelt are negligible in the region. The NAO–snowmelt relationship is most pronounced below the 2800-m level; above this level, the relationship becomes weaker. …


Predicting The U.S. Drought Monitor Using Precipitation, Soil Moisture, And Evapotranspiration Anomalies. Part Ii: Intraseasonal Drought Intensification Forecasts, David J. Lorenz, Jason A. Otkin, Mark Svoboda, Christopher R. Hain, Martha C. Anderson, Yafang Zhong 2017 University of Wisconsin-Madison

Predicting The U.S. Drought Monitor Using Precipitation, Soil Moisture, And Evapotranspiration Anomalies. Part Ii: Intraseasonal Drought Intensification Forecasts, David J. Lorenz, Jason A. Otkin, Mark Svoboda, Christopher R. Hain, Martha C. Anderson, Yafang Zhong

National Drought Mitigation Center: Faculty Publications

Probabilistic forecasts of U.S. Drought Monitor (USDM) intensification over 2-, 4-, and 8-week time periods are developed based on recent anomalies in precipitation, evapotranspiration, and soil moisture. These statistical forecasts are computed using logistic regression with cross validation. While recent precipitation, evapotranspiration, and soil moisture do provide skillful forecasts, it is found that additional information on the current state of the USDM adds significant skill to the forecasts. The USDM state information takes the form of a metric that quantifies the ‘‘distance’’ from the next-higher drought category using a nondiscrete estimate of the current USDM state. This adds skill because …


Umphlett Qci March 2017, Natalie Umphlett 2017 University of Nebraska-Lincoln

Umphlett Qci March 2017, Natalie Umphlett

High Plains Regional Climate Center: Staff Publications

Highlights for the Basin

Temperature and Precipitation Anomalies

Mountain Snowpack

Christmas Day Storm

Heavy Fuels Increase Fire Risk

Early Warmth Causes Concerns

3-Month Precipitation and Temperature Outlooks

NOAA Spring Flood Outlook


Estimating Seasonal Variation In Condition Of Yellow Perch, Emily Anne Powers 2017 Bemidji State University

Estimating Seasonal Variation In Condition Of Yellow Perch, Emily Anne Powers

Biology Graduate Theses

Research has shown that Yellow Perch Perca flavescens, found throughout lakes and streams of North America, are good indicators of environmental health. Due to the correlation between fish condition and ecosystem health it is essential to reliably estimate condition to better manage our fisheries. Therefore, the study objectives were to measure the seasonal changes in adult Yellow Perch percent dry weight (PDW), and compare the reliability of bioelectrical impedance analysis (BIA) and morphometric-based estimates of condition. The seasonal fluctuations in average monthly PDW were measured over a two- year period and were sinusoidal in shape with peaks in August 2015 …


Homestead National Monument Of America, Bat Acoustic Monitoring, September 2016, Daniel S. Licht 2017 United States National Park Service

Homestead National Monument Of America, Bat Acoustic Monitoring, September 2016, Daniel S. Licht

United States National Park Service: Publications

Abstract

Homestead National Monument of America is a 211-acre park located in an agrarian landscape in southeastern Nebraska. From September 16 to October 1, 2016, park staff deployed acoustic monitors at three sites in the park for purposes of monitoring night-time bat activity. The three sites averaged 179, 48, and 33 bat detections per night. Night-time bat activity was generally highest in the 1-2 hours following sunset.

Based on the acoustic surveys the big brown (Eptesicus fuscus), eastern red (Lasiurus borealis), northern long-eared (Myotis septentrionalis) and evening bats (Nycticeius humeralis) were present at the …


Nutrient Contamination From Non-Point Sources: Dissolved Phosphate In Surface And Subsurface Waters At Eku Meadowbrook Farm, Madison County, Kentucky, Hunter R. Evans, Reid E. Buskirk, Walter S. Borowski, Jonathan M. Malzone 2017 Eastern Kentucky University

Nutrient Contamination From Non-Point Sources: Dissolved Phosphate In Surface And Subsurface Waters At Eku Meadowbrook Farm, Madison County, Kentucky, Hunter R. Evans, Reid E. Buskirk, Walter S. Borowski, Jonathan M. Malzone

EKU Faculty and Staff Scholarship

Farms are non-point sources for nutrient contaminants that drain into watersheds and contribute to eutrophication and other environmental problems. Eastern Kentucky University’s Meadowbrook Farm raises both crops and livestock, causing dissolved phosphorus in the form of orthophosphate (PO43-) from fertilizer and animal manure to enter surface and subsurface waters, eventually flowing into Muddy Creek, a tributary of the Kentucky River.

We sampled surface water, springs, and water from French drains that emanate from the farm, and also sampled Muddy Creek waters from May through August 2016. Typically, 1 to 2 days after sampling, we colorimetrically measured dissolved …


Nutrient Contamination From Non-Point Sources: Dissolved Nitrate And Ammonium In Surface And Subsurface Waters At Eku Meadowbrook Farm, Madison County, Kentucky, Reid E. Buskirk, Hunter R. Evans, Walter S. Borowski, Jonathan M. Malzone 2017 Eastern Kentucky University

Nutrient Contamination From Non-Point Sources: Dissolved Nitrate And Ammonium In Surface And Subsurface Waters At Eku Meadowbrook Farm, Madison County, Kentucky, Reid E. Buskirk, Hunter R. Evans, Walter S. Borowski, Jonathan M. Malzone

EKU Faculty and Staff Scholarship

Agricultural activities often contaminate watersheds with excess nutrients leading to poor water quality and eutrophication. We assayed dissolved nutrient levels in surface and subsurface waters of Eastern Kentucky University’s Meadowbrook Farm in order to assess levels of dissolved nutrients leaving its farmland and draining into the Muddy Creek watershed. The Farm raises both crops and livestock so that nutrient sources include fertilizer and manure. We sampled springs, runoff, and subsurface pipe drainage as well as Muddy Creek on six days from May to August 2016 under a variety of weather conditions. Using established, standard colorimetric methods, we measured nitrate (NO …


Composition And Quantification Of Polycyclic Aromatic Hydrocarbons In Deep-Pelagic Fauna, Cruises Dp01 And Dp02 From May 2015 - August 2015, Isabel C. Romero 2017 University of South Florida

Composition And Quantification Of Polycyclic Aromatic Hydrocarbons In Deep-Pelagic Fauna, Cruises Dp01 And Dp02 From May 2015 - August 2015, Isabel C. Romero

DEEPEND Datasets

This data set includes the biological PAH (Polycyclic Aromatic Hydrocarbons) data of target species collected during the DP01 (May 1-8, 2015) and DP02 cruises (August 8-21, 2015) in the Northern Gulf of Mexico. The target fish species include Ceratoscopelus warmingii, Chaulidus spp., Diaphus spp., Argyropelecus spp, Lampanyctus alatus, and Sigma elongatum. Also, analysis of shrimp (Acanthephyra purpurea) and cephalopod (Grimalditeuthis bonplandi, Histioteuthis corona, Japetella diaphana) samples were conducted. PAHs were analyzed following modified EPA method 8270D and QA/QC strict protocols. Detection and quantification of PAHs were performed using a gas chromatograph/mass spectrometric detector (GC/MS/MS).


Nitrate Radicals And Biogenic Volatile Organic Compounds: Oxidation, Mechanisms And Organic Aerosol, Nga Lee Ng, Steven S. Brown, Alexander T. Archibald, Elliot Atlas, Ronald C. Cohen, John N. Crowley, Douglas A. Day, Neil M. Donahue, Juliane L. Fry, Hendrik Fuchs, Robert J. Griffin, Marcelo I. Guzman, Hartmut Hermann, Alma Hodzic, Yoshiteru Iinuma, José L. Jimenez, Astrid Kiendler-Scharr, Ben H. Lee, Deborah J. Luecken, Jingqiu Mao, Robert McLaren, Anke Mutzel, Hans D. Osthoff, Bin Ouyang, Benedicte Picquet-Varrault, Ulrich Platt, Havala O. T. Pye, Yinon Rudich, Rebecca H. Schwantes, Manabu Shiraiwa, Jochen Stutz, Joel A. Thornton, Andreas Tilgner, Brent J. Williams, Rahul A. Zaveri 2017 Georgia Institute of Technology

Nitrate Radicals And Biogenic Volatile Organic Compounds: Oxidation, Mechanisms And Organic Aerosol, Nga Lee Ng, Steven S. Brown, Alexander T. Archibald, Elliot Atlas, Ronald C. Cohen, John N. Crowley, Douglas A. Day, Neil M. Donahue, Juliane L. Fry, Hendrik Fuchs, Robert J. Griffin, Marcelo I. Guzman, Hartmut Hermann, Alma Hodzic, Yoshiteru Iinuma, José L. Jimenez, Astrid Kiendler-Scharr, Ben H. Lee, Deborah J. Luecken, Jingqiu Mao, Robert Mclaren, Anke Mutzel, Hans D. Osthoff, Bin Ouyang, Benedicte Picquet-Varrault, Ulrich Platt, Havala O. T. Pye, Yinon Rudich, Rebecca H. Schwantes, Manabu Shiraiwa, Jochen Stutz, Joel A. Thornton, Andreas Tilgner, Brent J. Williams, Rahul A. Zaveri

Chemistry Faculty Publications

Oxidation of biogenic volatile organic compounds (BVOC) by the nitrate radical (NO3) represents one of the important interactions between anthropogenic emissions related to combustion and natural emissions from the biosphere. This interaction has been recognized for more than 3 decades, during which time a large body of research has emerged from laboratory, field, and modeling studies. NO3-BVOC reactions influence air quality, climate and visibility through regional and global budgets for reactive nitrogen (particularly organic nitrates), ozone, and organic aerosol. Despite its long history of research and the significance of this topic in atmospheric chemistry, a number …


Developing A Representative Snow-Monitoring Network In A Forested Mountain Watershed, Kelly E. Gleason, Anne Nolin, Travis R. Roth 2017 Portland State University

Developing A Representative Snow-Monitoring Network In A Forested Mountain Watershed, Kelly E. Gleason, Anne Nolin, Travis R. Roth

Environmental Science and Management Faculty Publications and Presentations

A challenge in establishing new ground-based stations for monitoring snowpack accumulation and ablation is to locate the sites in areas that represent the key processes affecting snow accumulation and ablation. This is especially challenging in forested montane watersheds where the combined effects of terrain, climate, and land cover affect seasonal snowpack. We present a coupled modeling approach used to objectively identify representative snow-monitoring locations in a forested watershed in the western Oregon Cascades mountain range. We used a binary regression tree (BRT) non-parametric statistical model to classify peak snow water equivalent (SWE) based on physiographic landscape characteristics in an average …


Land Change History Of Oil Palm Plantations In Northern Bengkulu Province, Sumatra Island, Reconstructed From Landsat Satellite Archives, Atsushi Tomita 2017 CUNY Graduate Center

Land Change History Of Oil Palm Plantations In Northern Bengkulu Province, Sumatra Island, Reconstructed From Landsat Satellite Archives, Atsushi Tomita

Dissertations, Theses, and Capstone Projects

The aim of this study is to reconstruct the history of land conversion to oil palm plantation in tropical Asia using multi-temporal satellite data. A new method was constructed with a newly developed computer model, Land Change Detection and Land Definition Model (LC/LD Model) to map out spatio-temporal distribution of land changes. A comprehensive, cloud-free Landsat dataset was created from all the available Landsat data from 1988 to 2015. The pixel-based dataset was converted into a polygon-based dataset by applying the multi-temporal image segmentation method. The representation of the spectral information was also reduced to a single index of IB45, …


The Palos Verdes Kelp Restoration Project, Tom Ford 2017 Loyola Marymount University

The Palos Verdes Kelp Restoration Project, Tom Ford

Faculty Pub Night

No abstract provided.


Effects Of Initial Aquifer Conditions On Economic Benefits From Groundwater Conservation, T. Foster, N. Brozovic, A. P. Butler 2017 University of Manchester & University of Nebraska- Lincoln

Effects Of Initial Aquifer Conditions On Economic Benefits From Groundwater Conservation, T. Foster, N. Brozovic, A. P. Butler

Daugherty Water for Food Global Institute: Faculty Publications

Worldwide, there is growing recognition of the need to reduce agricultural groundwater use in response to rapid rates of aquifer depletion. To date, however, few studies have evaluated how benefits of conservation vary along an aquifer’s depletion pathway. To address this question, we develop an integrated modeling framework that couples an agro-economic model of farmers’ field-level irrigation decisionmaking with a borehole-scale groundwater flow model. Unique to this framework is the explicit consideration of the dynamic reductions in well yields that occur as an aquifer is depleted, and how these changes in intraseasonal groundwater supply affect farmers’ ability to manage production …


Yale’S Environmental Performance Index: The Construction And Use Of A Composite Index For Global Sustainability, Zach Wendling 2017 FES

Yale’S Environmental Performance Index: The Construction And Use Of A Composite Index For Global Sustainability, Zach Wendling

Yale Day of Data

No abstract provided.


Closing The Water Budget In An Experimental Urban Watershed: A Comparative Assessment Of Methods For Measuring Evapotranspiration, Leana M. Weissberg, Gaboury Benoit 2017 Yale University

Closing The Water Budget In An Experimental Urban Watershed: A Comparative Assessment Of Methods For Measuring Evapotranspiration, Leana M. Weissberg, Gaboury Benoit

Yale Day of Data

No abstract provided.


U.S. Drought Monitor, January 17, 2017, Richard Tinker 2017 NOAA/NWS/NCEP/CPC

U.S. Drought Monitor, January 17, 2017, Richard Tinker

United States Agricultural Commodities in Drought Archive

Drought map of U.S. for January 17, 2017 (1/17/17) plus: U.S. crop areas experiencing drought (map), Approximate percentage of crop located in drought, by state (bar graph), Percent of crop area located in drought, past 52 weeks (line graph) for: Corn, Soybeans, Hay, Cattle, Winter wheat.


U.S. Drought Monitor, January 10, 2017, David Miskus 2017 NOAA/NWS/NCEP/CPC

U.S. Drought Monitor, January 10, 2017, David Miskus

United States Agricultural Commodities in Drought Archive

Drought map of U.S. for January 10, 2017 (1/10/17) plus: U.S. crop areas experiencing drought (map), Approximate percentage of crop located in drought, by state (bar graph), Percent of crop area located in drought, past 52 weeks (line graph) for: Corn, Soybeans, Hay, Cattle, Winter wheat.


The Irreversible Momentum Of Clean Energy, Barack Obama 2017 President of the United States

The Irreversible Momentum Of Clean Energy, Barack Obama

United States Department of Energy: Publications

The release of carbon dioxide (CO2) and other greenhouse gases (GHGs) due to human activity is increasing global average surface air temperatures, disrupting weather patterns, and acidifying the ocean. Left unchecked, the continued growth of GHG emissions could cause global average temperatures to increase by another 4°C or more by 2100 and by 1.5 to 2 times as much in many midcontinent and far northern locations. Although our understanding of the impacts of climate change is increasingly and disturbingly clear, there is still debate about the proper course for U.S. policy—a debate that is very much on display …


Application Of Recurrent Neural Networks For Drought Projections In California, J. A. Le, Hesham el-Askary, Mohamed Allali, Daniele C. Struppa 2017 Chapman University

Application Of Recurrent Neural Networks For Drought Projections In California, J. A. Le, Hesham El-Askary, Mohamed Allali, Daniele C. Struppa

Mathematics, Physics, and Computer Science Faculty Articles and Research

We use recurrent neural networks (RNNs) to investigate the complex interactions between the long-term trend in dryness and a projected, short but intense, period of wetness due to the 2015-2016 El Niño. Although it was forecasted that this El Niño season would bring significant rainfall to the region, our long-term projections of the Palmer Z Index (PZI) showed a continuing drought trend, contrasting with the 1998-1999 El Niño event. RNN training considered PZI data during 1896-2006 that was validated against the 2006-2015 period to evaluate the potential of extreme precipitation forecast. We achieved a statistically significant correlation of 0.610 between …


U.S. Drought Monitor, January 3, 2017, David Miskus 2017 NOAA/NWS/NCEP/CPC

U.S. Drought Monitor, January 3, 2017, David Miskus

United States Agricultural Commodities in Drought Archive

Drought map of U.S. for January 3, 2017 (1/3/17) plus: U.S. crop areas experiencing drought (map), Approximate percentage of crop located in drought, by state (bar graph), Percent of crop area located in drought, past 52 weeks (line graph) for: Corn, Soybeans, Hay, Cattle, Winter wheat.


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