The Experts below are selected from a list of 315 Experts worldwide ranked by ideXlab platform
Roy Rasmussen - One of the best experts on this subject based on the ideXlab platform.
-
a transformational approach to winter orographic Weather Modification research the snowie project
Bulletin of the American Meteorological Society, 2019Co-Authors: Sarah A Tessendorf, Kyoko Ikeda, Roy Rasmussen, D Blestrud, Lulin Xue, Bart Geerts, Jeffrey R French, Katja Friedrich, Robert M Rauber, Melvin L KunkelAbstract:AbstractThe Seeded and Natural Orographic Wintertime Clouds: The Idaho Experiment (SNOWIE) project aims to study the impacts of cloud seeding on winter orographic clouds. The field campaign took pl...
-
evaluation of the wyoming Weather Modification pilot project wwmpp using two approaches traditional statistics and ensemble modeling
Journal of Applied Meteorology and Climatology, 2018Co-Authors: Roy Rasmussen, Kyoko Ikeda, Courtney Weeks, Daniel Breed, Terry Deshler, Lulin Xue, Sarah A Tessendorf, Scott Landolt, Barry LawrenceAbstract:AbstractThe Wyoming Weather Modification Pilot Project randomized cloud seeding experiment was a crossover statistical experiment conducted over two mountain ranges in eastern Wyoming and lasted fo...
-
estimating the fraction of winter orographic precipitation produced under conditions meeting the seeding criteria for the wyoming Weather Modification pilot project
Journal of Applied Meteorology and Climatology, 2015Co-Authors: Jaclyn M Ritzman, Kyoko Ikeda, Terry Deshler, Roy RasmussenAbstract:AbstractAnnual precipitation increases of 10% or more are often quoted for the impact of winter orographic cloud seeding; however, establishing the basis for such values is problematic for two reasons. First, the impact of glaciogenic seeding of candidate orographic storms has not been firmly established. Second, not all winter precipitation is produced by candidate “seedable” storms. Addressing the first question motivated the Wyoming state legislature to fund a multiyear, crossover, randomized cloud-seeding experiment in southeastern Wyoming to quantify the impact of glaciogenic seeding of wintertime orographic clouds. The crossover design requires two barriers, one randomly selected for seeding, for comparisons of seeded and nonseeded precipitation under relatively homogeneous atmospheric conditions. Addressing the second question motivated the work here. The seeding criteria—700-hPa temperatures ≤−8°C, 700-hPa winds between 210° and 315°, and the presence of supercooled liquid water—were applied to ei...
-
evaluating winter orographic cloud seeding design of the wyoming Weather Modification pilot project wwmpp
Journal of Applied Meteorology and Climatology, 2014Co-Authors: Daniel Breed, Roy Rasmussen, Courtney Weeks, Bruce Boe, Terry DeshlerAbstract:An overview of the Wyoming Weather Modification Pilot Project (WWMPP) is presented. This project, funded by the State of Wyoming, is designed to evaluate the effectiveness of cloud seeding with silver iodide in the Medicine Bow and Sierra Madre Ranges of south-central Wyoming. The statistical evaluation is based on a randomized crossover design for the two barriers. The description of the experimental design includes the rationale behind the design choice, the criteria for case selection, facilities for operations and evaluation, and the statistical analysis approach. Initial estimates of the number of cases needed for statistical significance used historical Snow Telemetry (SNOTEL) data (1987‐2006), prior to the beginning of the randomized seeding experiment. Refined estimates were calculated using high-resolution precipitation data collected during the initial seasons of the project (2007‐10). Comparing the sample size estimates from these two data sources, the initial estimates are reduced to 236 (110) for detecting a 10% (15%) change. The sample size estimates are highly dependent on the assumed effect of seeding, on the correlations between the two target barriers and between the target and control sites, and on the variance of the response variable, namely precipitation. In addition to the statistical experiment, a wide range of physical studies and ancillary analyses are being planned and conducted.
-
the impact of glaciogenic seeding on orographic cloud processes preliminary results from the wyoming Weather Modification pilot project
The Journal of Weather Modification, 2010Co-Authors: Bart Geerts, Roy Rasmussen, Qun Mia, Yang Yang, Barry LawrenceAbstract:Cloud seeding has long been and remains the most widely practiced method of advertent Weather Modification (Qiu and Cressey, 2008). It is remarkable that notwithstanding all the data collected and the high level of experimental control compared to typical research on cloud and precipitation processes, the effectiveness of cloud seeding in enhancing precipitation remains uncertain (Bruintjes, 1999; National Research Council, 2003). Numerous statistical studies have been conducted to assess changes in surface precipitation, often with mixed or questionable results. The level of noise in natural systems compared to the magnitude of the signal makes verification of precipitation enhancement extremely difficult (Garstang et al., 2005). Numerous studies and reports have pointed to the need for field measurements that document the cloud microphysical "chain of events" that lead to an alteration of surface precipitation
Terry Deshler - One of the best experts on this subject based on the ideXlab platform.
-
evaluation of the wyoming Weather Modification pilot project wwmpp using two approaches traditional statistics and ensemble modeling
Journal of Applied Meteorology and Climatology, 2018Co-Authors: Roy Rasmussen, Kyoko Ikeda, Courtney Weeks, Daniel Breed, Terry Deshler, Lulin Xue, Sarah A Tessendorf, Scott Landolt, Barry LawrenceAbstract:AbstractThe Wyoming Weather Modification Pilot Project randomized cloud seeding experiment was a crossover statistical experiment conducted over two mountain ranges in eastern Wyoming and lasted fo...
-
estimating the fraction of winter orographic precipitation produced under conditions meeting the seeding criteria for the wyoming Weather Modification pilot project
Journal of Applied Meteorology and Climatology, 2015Co-Authors: Jaclyn M Ritzman, Kyoko Ikeda, Terry Deshler, Roy RasmussenAbstract:AbstractAnnual precipitation increases of 10% or more are often quoted for the impact of winter orographic cloud seeding; however, establishing the basis for such values is problematic for two reasons. First, the impact of glaciogenic seeding of candidate orographic storms has not been firmly established. Second, not all winter precipitation is produced by candidate “seedable” storms. Addressing the first question motivated the Wyoming state legislature to fund a multiyear, crossover, randomized cloud-seeding experiment in southeastern Wyoming to quantify the impact of glaciogenic seeding of wintertime orographic clouds. The crossover design requires two barriers, one randomly selected for seeding, for comparisons of seeded and nonseeded precipitation under relatively homogeneous atmospheric conditions. Addressing the second question motivated the work here. The seeding criteria—700-hPa temperatures ≤−8°C, 700-hPa winds between 210° and 315°, and the presence of supercooled liquid water—were applied to ei...
-
evaluating winter orographic cloud seeding design of the wyoming Weather Modification pilot project wwmpp
Journal of Applied Meteorology and Climatology, 2014Co-Authors: Daniel Breed, Roy Rasmussen, Courtney Weeks, Bruce Boe, Terry DeshlerAbstract:An overview of the Wyoming Weather Modification Pilot Project (WWMPP) is presented. This project, funded by the State of Wyoming, is designed to evaluate the effectiveness of cloud seeding with silver iodide in the Medicine Bow and Sierra Madre Ranges of south-central Wyoming. The statistical evaluation is based on a randomized crossover design for the two barriers. The description of the experimental design includes the rationale behind the design choice, the criteria for case selection, facilities for operations and evaluation, and the statistical analysis approach. Initial estimates of the number of cases needed for statistical significance used historical Snow Telemetry (SNOTEL) data (1987‐2006), prior to the beginning of the randomized seeding experiment. Refined estimates were calculated using high-resolution precipitation data collected during the initial seasons of the project (2007‐10). Comparing the sample size estimates from these two data sources, the initial estimates are reduced to 236 (110) for detecting a 10% (15%) change. The sample size estimates are highly dependent on the assumed effect of seeding, on the correlations between the two target barriers and between the target and control sites, and on the variance of the response variable, namely precipitation. In addition to the statistical experiment, a wide range of physical studies and ancillary analyses are being planned and conducted.
Kyoko Ikeda - One of the best experts on this subject based on the ideXlab platform.
-
a transformational approach to winter orographic Weather Modification research the snowie project
Bulletin of the American Meteorological Society, 2019Co-Authors: Sarah A Tessendorf, Kyoko Ikeda, Roy Rasmussen, D Blestrud, Lulin Xue, Bart Geerts, Jeffrey R French, Katja Friedrich, Robert M Rauber, Melvin L KunkelAbstract:AbstractThe Seeded and Natural Orographic Wintertime Clouds: The Idaho Experiment (SNOWIE) project aims to study the impacts of cloud seeding on winter orographic clouds. The field campaign took pl...
-
evaluation of the wyoming Weather Modification pilot project wwmpp using two approaches traditional statistics and ensemble modeling
Journal of Applied Meteorology and Climatology, 2018Co-Authors: Roy Rasmussen, Kyoko Ikeda, Courtney Weeks, Daniel Breed, Terry Deshler, Lulin Xue, Sarah A Tessendorf, Scott Landolt, Barry LawrenceAbstract:AbstractThe Wyoming Weather Modification Pilot Project randomized cloud seeding experiment was a crossover statistical experiment conducted over two mountain ranges in eastern Wyoming and lasted fo...
-
estimating the fraction of winter orographic precipitation produced under conditions meeting the seeding criteria for the wyoming Weather Modification pilot project
Journal of Applied Meteorology and Climatology, 2015Co-Authors: Jaclyn M Ritzman, Kyoko Ikeda, Terry Deshler, Roy RasmussenAbstract:AbstractAnnual precipitation increases of 10% or more are often quoted for the impact of winter orographic cloud seeding; however, establishing the basis for such values is problematic for two reasons. First, the impact of glaciogenic seeding of candidate orographic storms has not been firmly established. Second, not all winter precipitation is produced by candidate “seedable” storms. Addressing the first question motivated the Wyoming state legislature to fund a multiyear, crossover, randomized cloud-seeding experiment in southeastern Wyoming to quantify the impact of glaciogenic seeding of wintertime orographic clouds. The crossover design requires two barriers, one randomly selected for seeding, for comparisons of seeded and nonseeded precipitation under relatively homogeneous atmospheric conditions. Addressing the second question motivated the work here. The seeding criteria—700-hPa temperatures ≤−8°C, 700-hPa winds between 210° and 315°, and the presence of supercooled liquid water—were applied to ei...
Daniel Breed - One of the best experts on this subject based on the ideXlab platform.
-
evaluation of the wyoming Weather Modification pilot project wwmpp using two approaches traditional statistics and ensemble modeling
Journal of Applied Meteorology and Climatology, 2018Co-Authors: Roy Rasmussen, Kyoko Ikeda, Courtney Weeks, Daniel Breed, Terry Deshler, Lulin Xue, Sarah A Tessendorf, Scott Landolt, Barry LawrenceAbstract:AbstractThe Wyoming Weather Modification Pilot Project randomized cloud seeding experiment was a crossover statistical experiment conducted over two mountain ranges in eastern Wyoming and lasted fo...
-
evaluating winter orographic cloud seeding design of the wyoming Weather Modification pilot project wwmpp
Journal of Applied Meteorology and Climatology, 2014Co-Authors: Daniel Breed, Roy Rasmussen, Courtney Weeks, Bruce Boe, Terry DeshlerAbstract:An overview of the Wyoming Weather Modification Pilot Project (WWMPP) is presented. This project, funded by the State of Wyoming, is designed to evaluate the effectiveness of cloud seeding with silver iodide in the Medicine Bow and Sierra Madre Ranges of south-central Wyoming. The statistical evaluation is based on a randomized crossover design for the two barriers. The description of the experimental design includes the rationale behind the design choice, the criteria for case selection, facilities for operations and evaluation, and the statistical analysis approach. Initial estimates of the number of cases needed for statistical significance used historical Snow Telemetry (SNOTEL) data (1987‐2006), prior to the beginning of the randomized seeding experiment. Refined estimates were calculated using high-resolution precipitation data collected during the initial seasons of the project (2007‐10). Comparing the sample size estimates from these two data sources, the initial estimates are reduced to 236 (110) for detecting a 10% (15%) change. The sample size estimates are highly dependent on the assumed effect of seeding, on the correlations between the two target barriers and between the target and control sites, and on the variance of the response variable, namely precipitation. In addition to the statistical experiment, a wide range of physical studies and ancillary analyses are being planned and conducted.
Barry Lawrence - One of the best experts on this subject based on the ideXlab platform.
-
evaluation of the wyoming Weather Modification pilot project wwmpp using two approaches traditional statistics and ensemble modeling
Journal of Applied Meteorology and Climatology, 2018Co-Authors: Roy Rasmussen, Kyoko Ikeda, Courtney Weeks, Daniel Breed, Terry Deshler, Lulin Xue, Sarah A Tessendorf, Scott Landolt, Barry LawrenceAbstract:AbstractThe Wyoming Weather Modification Pilot Project randomized cloud seeding experiment was a crossover statistical experiment conducted over two mountain ranges in eastern Wyoming and lasted fo...
-
the impact of glaciogenic seeding on orographic cloud processes preliminary results from the wyoming Weather Modification pilot project
The Journal of Weather Modification, 2010Co-Authors: Bart Geerts, Roy Rasmussen, Qun Mia, Yang Yang, Barry LawrenceAbstract:Cloud seeding has long been and remains the most widely practiced method of advertent Weather Modification (Qiu and Cressey, 2008). It is remarkable that notwithstanding all the data collected and the high level of experimental control compared to typical research on cloud and precipitation processes, the effectiveness of cloud seeding in enhancing precipitation remains uncertain (Bruintjes, 1999; National Research Council, 2003). Numerous statistical studies have been conducted to assess changes in surface precipitation, often with mixed or questionable results. The level of noise in natural systems compared to the magnitude of the signal makes verification of precipitation enhancement extremely difficult (Garstang et al., 2005). Numerous studies and reports have pointed to the need for field measurements that document the cloud microphysical "chain of events" that lead to an alteration of surface precipitation
