Author: Jason Robert Cerjak
Publisher:
ISBN:
Category :
Languages : en
Pages : 113
Book Description
Keywords: LSMs, PBLs, temperature forecasting, dew point forecasting, diurnal cycle forecasting, diurnal cycle, MM5, land-surface schemes, planetary boundary layer schemes.
Evaluation of MM5 Forecasts of Near-surface Parameters
Author: Jason Robert Cerjak
Publisher:
ISBN:
Category :
Languages : en
Pages : 113
Book Description
Keywords: LSMs, PBLs, temperature forecasting, dew point forecasting, diurnal cycle forecasting, diurnal cycle, MM5, land-surface schemes, planetary boundary layer schemes.
Publisher:
ISBN:
Category :
Languages : en
Pages : 113
Book Description
Keywords: LSMs, PBLs, temperature forecasting, dew point forecasting, diurnal cycle forecasting, diurnal cycle, MM5, land-surface schemes, planetary boundary layer schemes.
Evaluation of MM5 Forecasts of Near-Surface Parameters: Sensitivity to Land-Surface Parameterization and Planetary Boundary Layer Schemes
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
The specific purpose of the research is to evaluate the performance of the MM5 model in the forecasting of near-surface parameters, such as 2-meter temperature, 2-meter dew point, and 1000-850 mb thickness. The evaluation will include a comparison of the MM5 against the Eta model, and a comparison of the forecasting skill of the MM5 with three different land-surface parameterization schemes. Three different soil moisture scaling techniques will be applied to the MM5, and their forecasts will be evaluated against observations taken from 7-9 December 2001. The MM5 displayed an inability to capture the full magnitude of the diurnal cycle of 2-meter temperature and dew point. The Eta model performed better than the MM5 in the forecasts of near-surface parameters. The MM5 forecasts of near-surface parameters can be improved by adjusting the vertical profile of the soil moisture in the model initial conditions. By removing soil moisture from the initial conditions of the MM5, a more realistic Bowen ratio was simulated, leading to an improved forecast of the diurnal cycle of temperature and dew point. The results of this research suggest that the cause of the damped diurnal cycle in the MM5 forecasts may be inadequate ventilation of the upper planetary boundary layer, an inaccurate representation of surface evapotranspiration, or incorrect assignment of soil type and land use categories.
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
The specific purpose of the research is to evaluate the performance of the MM5 model in the forecasting of near-surface parameters, such as 2-meter temperature, 2-meter dew point, and 1000-850 mb thickness. The evaluation will include a comparison of the MM5 against the Eta model, and a comparison of the forecasting skill of the MM5 with three different land-surface parameterization schemes. Three different soil moisture scaling techniques will be applied to the MM5, and their forecasts will be evaluated against observations taken from 7-9 December 2001. The MM5 displayed an inability to capture the full magnitude of the diurnal cycle of 2-meter temperature and dew point. The Eta model performed better than the MM5 in the forecasts of near-surface parameters. The MM5 forecasts of near-surface parameters can be improved by adjusting the vertical profile of the soil moisture in the model initial conditions. By removing soil moisture from the initial conditions of the MM5, a more realistic Bowen ratio was simulated, leading to an improved forecast of the diurnal cycle of temperature and dew point. The results of this research suggest that the cause of the damped diurnal cycle in the MM5 forecasts may be inadequate ventilation of the upper planetary boundary layer, an inaccurate representation of surface evapotranspiration, or incorrect assignment of soil type and land use categories.
Comparison and Evaluation of Operational Mesoscale MM5 and BFM Over WSMR
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 58
Book Description
Forecast data of both Fifth-Generation Mesoscale Model (MM5) and the Battlescale Forecast Model (BFM) were statistically compared with the Surface Atmosphere Measuring System (SAMS) data at the White Sands Missile Range covering the period of April and May 1999. Archived forecast data from MM5 and SAMS, and output data from the BFM are used for this study. Statistical parameters such as mean difference, absolute difference, root mean square error, and root mean square vector error are calculated between forecast data and observed data for both models. Surface meteorological parameters, temperature, relative humidity, horizontal wind vector components, and wind speed are used for the present study. Statistics for individual stations as well as all the SAMS stations covering the 42-day period are analyzed. This study shows that both models predicted the surface temperature fields well. MM5 tends to over predict relative humidity, whereas BFM tends to under predict it. Both models tend to under predict wind speed, but the BFM calculation produces smaller wind speeds than MM5. The BFM produced a better vector wind than did MM5.
Publisher:
ISBN:
Category :
Languages : en
Pages : 58
Book Description
Forecast data of both Fifth-Generation Mesoscale Model (MM5) and the Battlescale Forecast Model (BFM) were statistically compared with the Surface Atmosphere Measuring System (SAMS) data at the White Sands Missile Range covering the period of April and May 1999. Archived forecast data from MM5 and SAMS, and output data from the BFM are used for this study. Statistical parameters such as mean difference, absolute difference, root mean square error, and root mean square vector error are calculated between forecast data and observed data for both models. Surface meteorological parameters, temperature, relative humidity, horizontal wind vector components, and wind speed are used for the present study. Statistics for individual stations as well as all the SAMS stations covering the 42-day period are analyzed. This study shows that both models predicted the surface temperature fields well. MM5 tends to over predict relative humidity, whereas BFM tends to under predict it. Both models tend to under predict wind speed, but the BFM calculation produces smaller wind speeds than MM5. The BFM produced a better vector wind than did MM5.
Monthly Weather Review
Author:
Publisher:
ISBN:
Category : Meteorology
Languages : en
Pages : 1652
Book Description
Publisher:
ISBN:
Category : Meteorology
Languages : en
Pages : 1652
Book Description
ECMWF Re-analysis Project Report Series
Author: European Centre for Medium Range Weather Forecasts
Publisher:
ISBN:
Category : Meteorological services
Languages : en
Pages : 94
Book Description
Publisher:
ISBN:
Category : Meteorological services
Languages : en
Pages : 94
Book Description
Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II)
Author: Seon Ki Park
Publisher: Springer Science & Business Media
ISBN: 3642350887
Category : Science
Languages : en
Pages : 736
Book Description
This book contains the most recent progress in data assimilation in meteorology, oceanography and hydrology including land surface. It spans both theoretical and applicative aspects with various methodologies such as variational, Kalman filter, ensemble, Monte Carlo and artificial intelligence methods. Besides data assimilation, other important topics are also covered including targeting observation, sensitivity analysis, and parameter estimation. The book will be useful to individual researchers as well as graduate students for a reference in the field of data assimilation.
Publisher: Springer Science & Business Media
ISBN: 3642350887
Category : Science
Languages : en
Pages : 736
Book Description
This book contains the most recent progress in data assimilation in meteorology, oceanography and hydrology including land surface. It spans both theoretical and applicative aspects with various methodologies such as variational, Kalman filter, ensemble, Monte Carlo and artificial intelligence methods. Besides data assimilation, other important topics are also covered including targeting observation, sensitivity analysis, and parameter estimation. The book will be useful to individual researchers as well as graduate students for a reference in the field of data assimilation.
The Representation of Cumulus Convection in Numerical Models
Author: Kerry Emanuel
Publisher: Springer
ISBN: 1935704133
Category : Science
Languages : en
Pages : 242
Book Description
This book presents descriptions of numerical models for testing cumulus in cloud fields. It is divided into six parts. Part I provides an overview of the problem, including descriptions of cumulus clouds and the effects of ensembles of cumulus clouds on mass, momentum, and vorticity distributions. A review of closure assumptions is also provided. A review of "classical" convection schemes in widespread use is provided in Part II. The special problems associated with the representation of convection in mesoscale models are discussed in Part III, along with descriptions of some of the commonly used mesoscale schemes. Part IV covers some of the problems associated with the representation of convection in climate models, while the parameterization of slantwise convection is the subject of Part V.
Publisher: Springer
ISBN: 1935704133
Category : Science
Languages : en
Pages : 242
Book Description
This book presents descriptions of numerical models for testing cumulus in cloud fields. It is divided into six parts. Part I provides an overview of the problem, including descriptions of cumulus clouds and the effects of ensembles of cumulus clouds on mass, momentum, and vorticity distributions. A review of closure assumptions is also provided. A review of "classical" convection schemes in widespread use is provided in Part II. The special problems associated with the representation of convection in mesoscale models are discussed in Part III, along with descriptions of some of the commonly used mesoscale schemes. Part IV covers some of the problems associated with the representation of convection in climate models, while the parameterization of slantwise convection is the subject of Part V.
Observer
Author:
Publisher:
ISBN:
Category : Military meteorology
Languages : en
Pages : 396
Book Description
Publisher:
ISBN:
Category : Military meteorology
Languages : en
Pages : 396
Book Description
Integrated Systems of Meso-Meteorological and Chemical Transport Models
Author: Alexander Baklanov
Publisher: Springer Science & Business Media
ISBN: 3642139809
Category : Science
Languages : en
Pages : 245
Book Description
This book, as the outcome of the COST-728/NetFAM workshop, focuses on the following main topics: 1) on-line coupled meteorology-chemistry modelling with two-way feedbacks, 2) off-line coupled modelling and interfaces, 3) validation and case studies including air quality related episodes, and 4) integration of atmospheric chemical transport (ACT) models with numerical weather prediction (NWP). This book is one of the first attempts to give an overall look on such integrated meso-meteorology and chemistry modelling approach. It reviews the current situation with the on-line and off-line coupling of mesoscale meteorological and ACT models worldwide as well as discusses advantages and shortcomings, best practices, and gives recommendations for on-line and off-line coupling of NWP and ACT models, implementation strategy for different feedback mechanisms, direct and indirect effects of aerosols and advanced interfaces between both types of models. The book is oriented towards numerical weather prediction and air quality modelling communities.
Publisher: Springer Science & Business Media
ISBN: 3642139809
Category : Science
Languages : en
Pages : 245
Book Description
This book, as the outcome of the COST-728/NetFAM workshop, focuses on the following main topics: 1) on-line coupled meteorology-chemistry modelling with two-way feedbacks, 2) off-line coupled modelling and interfaces, 3) validation and case studies including air quality related episodes, and 4) integration of atmospheric chemical transport (ACT) models with numerical weather prediction (NWP). This book is one of the first attempts to give an overall look on such integrated meso-meteorology and chemistry modelling approach. It reviews the current situation with the on-line and off-line coupling of mesoscale meteorological and ACT models worldwide as well as discusses advantages and shortcomings, best practices, and gives recommendations for on-line and off-line coupling of NWP and ACT models, implementation strategy for different feedback mechanisms, direct and indirect effects of aerosols and advanced interfaces between both types of models. The book is oriented towards numerical weather prediction and air quality modelling communities.
A Review of the Forest Service Remote Automated Weather Station (RAWS) Network
Author: John Zachariassen
Publisher:
ISBN:
Category : Fire weather
Languages : en
Pages : 164
Book Description
"The RAWS network and RAWS data-use systems are closely reviewed and summarized in this report. RAWS is an active program created by the many land-management agencies that share a common need for accurate and timely weather data from remote locations for vital operational and program decisions specific to wildland and prescribed fires. A RAWS measures basic observable weather parameters such as temperature, relative humidity, wind speed, wind direction, and precipitation as well as "fuel stick" temperature. Data from almost 1,900 stations deployed across the conterminous United States, Alaska, and Hawaii are now routinely used to calculate and forecast daily fire danger indices, components, and adjective ratings. Fire business applications include the National Fire Danger Rating System (NFDRS), fire behavior, and fire use. Findings point to the fact that although the RAWS program works and provides needed weather data in support of fire operations, there are inefficiencies and significant problem areas that require leadership attention at the National level."
Publisher:
ISBN:
Category : Fire weather
Languages : en
Pages : 164
Book Description
"The RAWS network and RAWS data-use systems are closely reviewed and summarized in this report. RAWS is an active program created by the many land-management agencies that share a common need for accurate and timely weather data from remote locations for vital operational and program decisions specific to wildland and prescribed fires. A RAWS measures basic observable weather parameters such as temperature, relative humidity, wind speed, wind direction, and precipitation as well as "fuel stick" temperature. Data from almost 1,900 stations deployed across the conterminous United States, Alaska, and Hawaii are now routinely used to calculate and forecast daily fire danger indices, components, and adjective ratings. Fire business applications include the National Fire Danger Rating System (NFDRS), fire behavior, and fire use. Findings point to the fact that although the RAWS program works and provides needed weather data in support of fire operations, there are inefficiencies and significant problem areas that require leadership attention at the National level."