Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Environmental Sciences (5)
- Natural Resources and Conservation (4)
- Natural Resources Management and Policy (3)
- Other Environmental Sciences (3)
- Applied Statistics (2)
-
- Earth Sciences (2)
- Library and Information Science (2)
- Social and Behavioral Sciences (2)
- Statistics and Probability (2)
- Business (1)
- Business Analytics (1)
- Curriculum and Social Inquiry (1)
- Education (1)
- Longitudinal Data Analysis and Time Series (1)
- Meteorology (1)
- Oceanography and Atmospheric Sciences and Meteorology (1)
- Publication
-
- School of Natural Resources: Faculty Publications (4)
- Library Philosophy and Practice (e-journal) (2)
- Department of Earth and Atmospheric Sciences: Dissertations, Theses, and Student Research (1)
- Department of Earth and Atmospheric Sciences: Faculty Publications (1)
- United States Department of Commerce: Staff Publications (1)
Articles 1 - 9 of 9
Full-Text Articles in Physical Sciences and Mathematics
Seasonally And Diurnally Varying Cold Front Effects Along The Minnesotan North Shore Of Lake Superior, Matthew S. Van Den Broeke
Seasonally And Diurnally Varying Cold Front Effects Along The Minnesotan North Shore Of Lake Superior, Matthew S. Van Den Broeke
Department of Earth and Atmospheric Sciences: Faculty Publications
Cold fronts are typically associated with cooling, drying and a strengthening wind that shifts to have a northerly component. Cold front effects at a particular point, however, are dependent upon pre-existing air mass characteristics. Here, we examine 634 passages of synoptic-scale cold fronts in northeastern Minnesota from 2010 to 2018. While these fronts are associated with the expected effects in some areas, they are often associated with warming and enhanced drying in the region directly influenced by an air mass from Lake Superior (coastal sites). Coastal sites experience warming during more than half of cold frontal passages, in contrast to …
Forecasting Of The Covid-19 Epidemic: A Scientometric Analysis, Pandri Ferdias, Ansari Saleh Ahmar
Forecasting Of The Covid-19 Epidemic: A Scientometric Analysis, Pandri Ferdias, Ansari Saleh Ahmar
Library Philosophy and Practice (e-journal)
This study presented a scientometric analysis of scientific publications with discussions of forecasting and COVID-19. The data of this study were obtained from the Scopus database using the keywords: ( TITLE-ABS-KEY (forecast) AND TITLE-ABS-KEY (covid)) and the data were taken on March 26, 2021. This study was a scientometric study. The data were subsequently analyzed using the VosViewer and Bibliometrix R Package. The results showed that “COVID-19” was the keyword most frequently used by researchers, followed by “forecasting” and “human”. Authors who discussed the topic of forecasting COVID-19 come from 83 different countries/regions, with the most articles sent by authors …
Czech Drought Monitor System For Monitoring And Forecasting Of Agricultural Drought And Drought Impacts, Miroslav Trnka, Petr Hlavinka, Martin Možný, Daniela Semerádová, Petr Štěpánek, Jan Balek, Lenka Bartošová, Pavel Zahradníček, Monika Bláhová, Petr Skalák, Aleš Farda, Michael Hayes, Mark D. Svoboda, Wolfgang Wagner, Josef Eitzinger, Milan Fischer, Zdeněk Zalud
Czech Drought Monitor System For Monitoring And Forecasting Of Agricultural Drought And Drought Impacts, Miroslav Trnka, Petr Hlavinka, Martin Možný, Daniela Semerádová, Petr Štěpánek, Jan Balek, Lenka Bartošová, Pavel Zahradníček, Monika Bláhová, Petr Skalák, Aleš Farda, Michael Hayes, Mark D. Svoboda, Wolfgang Wagner, Josef Eitzinger, Milan Fischer, Zdeněk Zalud
School of Natural Resources: Faculty Publications
The awareness of drought and its impacts on Central Europe increased after the significant drought episodes in 2000, 2003, 2012 and 2015, which were all estimated to have caused over 500 million Euro in damage in the Czech Republic alone. These events indicated the need for timely and highresolution monitoring tools that would enable analysing, monitoring and forecasting of drought events. Monitoring soil water availability in near real time and at high-resolution (up to 0.5 × 0.5 km for some products) helps farmers and water managers to mitigate impacts of these extreme events. The Czech Drought Monitor was developed between …
Utilization Of Statistics For Provision Of Business Information: Implementation Of Α-Sutte Indicator On Provision Of Stock Movement Prediction Information, Nuning Kurniasih, Ansari Saleh Ahmar, Nanik Kurniawati
Utilization Of Statistics For Provision Of Business Information: Implementation Of Α-Sutte Indicator On Provision Of Stock Movement Prediction Information, Nuning Kurniasih, Ansari Saleh Ahmar, Nanik Kurniawati
Library Philosophy and Practice (e-journal)
The Current information services are dealing with big data that is freely accessible. Companies providing information services and products need to develop creativity and innovation to maintain their existence. In this paper, we offer that information specialist can add value to information. The added value is given through an analysis of information that is relevant to user needs. The Research and Development Method can be used to develop a framework for service information products and services, and bridge the gap between the theories studied in higher education and the needs of the industry. α-Sutte Indicator can be used to predict …
Verification Of The Cobb Snowfall Forecasting Algorithm, Josh Barnwell
Verification Of The Cobb Snowfall Forecasting Algorithm, Josh Barnwell
Department of Earth and Atmospheric Sciences: Dissertations, Theses, and Student Research
Forecasting storm total snow accumulation is one of the most difficult aspects of meteorological forecasting. The forecaster has to interpret three main variables in order to forecast snowfall accurately. These forecasting variables are the duration of the snowfall, the amount of liquid water the storm will produce, and the snow density or snow ratio. With the advancement of computer models in recent history, the need for a quick and easy interpretation of these variables has grown, and to improve on previous forecasting techniques’ disadvantages with including the three snow forecasting variables. The Cobb Method snowfall forecasting algorithm utilizes model data …
Evaluation Of The National Weather Service Operational Hydrologic Model And Forecasts For The American River Basin, Eylon Shamir, Theresa M. Carpenter, Peter Fickenscher, Konstantine P. Georgakakos
Evaluation Of The National Weather Service Operational Hydrologic Model And Forecasts For The American River Basin, Eylon Shamir, Theresa M. Carpenter, Peter Fickenscher, Konstantine P. Georgakakos
United States Department of Commerce: Staff Publications
This paper evaluates the National Weather Service operational hydrologic model and operational flow forecasts for several subbasins of the American River. The evaluation includes: (1) the quality of the 6-h operational flow forecasts with up to 5 days lead time; (2) the hydrologic model ability to reproduce observed mean daily flows; and (3) the reliability of the ensemble streamflow predictions of the hydrologic model to reproduce extremes of the monthly volume of full natural flow to Folsom Lake. The results indicate that the model represents the observed flow record well for sites and/or flow ranges unaffected by upstream regulation. Real …
Flow Routing With Unknown Rating Curves Using A State-Space Reservoir-Cascade-Type Formulation, Jozsef Szilagyi, Gabor Balint, Balazs Gauzer, Peter Bartha
Flow Routing With Unknown Rating Curves Using A State-Space Reservoir-Cascade-Type Formulation, Jozsef Szilagyi, Gabor Balint, Balazs Gauzer, Peter Bartha
School of Natural Resources: Faculty Publications
No abstract provided.
Forecasting Vegetation Greenness With Satellite And Climate Data, Lei Ji, Albert J. Peters
Forecasting Vegetation Greenness With Satellite And Climate Data, Lei Ji, Albert J. Peters
School of Natural Resources: Faculty Publications
A new and unique vegetation greenness forecast (VGF) model was designed to predict future vegetation conditions to three months through the use of current and historical climate data and satellite imagery. The VGF model is implemented through a seasonality-adjusted autoregressive distributed-lag function, based on our finding that the normalized difference vegetation index is highly correlated with lagged precipitation and temperature. Accurate forecasts were obtained from the VGF model in Nebraska grassland and cropland. The regression R2 values range from 0.97–0.80 for 2–12 week forecasts, with higher R2 associated with a shorter prediction. An important application would be to …
State-Space Discretization Of The Kalinin-Milyukov-Nash Cascade In A Sample-Data System Framework For Streamflow Forecasting, Jozsef Szilagyi
State-Space Discretization Of The Kalinin-Milyukov-Nash Cascade In A Sample-Data System Framework For Streamflow Forecasting, Jozsef Szilagyi
School of Natural Resources: Faculty Publications
No abstract provided.