METEOROLOGY
... Temperature Inversion: Occasional increase of temp. with height known as Temp. Inversion; Troposphere: From earth’s surface to where the air stops becoming colder with height; up to 11 km from earth’s surface; controls all the weather; the layer is well mixed by ascending/descending air masses ...
... Temperature Inversion: Occasional increase of temp. with height known as Temp. Inversion; Troposphere: From earth’s surface to where the air stops becoming colder with height; up to 11 km from earth’s surface; controls all the weather; the layer is well mixed by ascending/descending air masses ...
Powerpoint
... • Temperature Inversion: Occasional increase of temp. with height known as Temp. Inversion; • Troposphere: From earth’s surface to where the air stops becoming colder with height; up to 11 km from earth’s surface; controls all the weather; the layer is well mixed by ascending/descending air masses ...
... • Temperature Inversion: Occasional increase of temp. with height known as Temp. Inversion; • Troposphere: From earth’s surface to where the air stops becoming colder with height; up to 11 km from earth’s surface; controls all the weather; the layer is well mixed by ascending/descending air masses ...
nrm glossary of terms - Climate Change in Australia
... Uncertainty can therefore be represented by quantitative measures (e.g. a probability density function) or by qualitative statements (e.g. reflecting the judgment of a team of experts). ...
... Uncertainty can therefore be represented by quantitative measures (e.g. a probability density function) or by qualitative statements (e.g. reflecting the judgment of a team of experts). ...
Lecture Notes from February 7, 2005
... sample sizes; at small sample sizes the BIC-selected model can be quite biased (underfit), especially if there are tapering effects. d) Fit of selected model: Based on simulations, the model selected by AIC always fits if the global model fits; the model selected by BIC does not always fit. 5. AIC a ...
... sample sizes; at small sample sizes the BIC-selected model can be quite biased (underfit), especially if there are tapering effects. d) Fit of selected model: Based on simulations, the model selected by AIC always fits if the global model fits; the model selected by BIC does not always fit. 5. AIC a ...
No Slide Title
... •It is difficult to explain the recent surface warming in terms of natural climate variability •Recent surface warming is largely consistent with simulations of the effects of anthropogenic influence on climate •Unresolved issues regarding the precise sensitivity of the climate to forcing, and chang ...
... •It is difficult to explain the recent surface warming in terms of natural climate variability •Recent surface warming is largely consistent with simulations of the effects of anthropogenic influence on climate •Unresolved issues regarding the precise sensitivity of the climate to forcing, and chang ...
Global climate models, past, present and future
... El Niño has become a common term in much of the world (only one of ~80 participants in the GAFOS meeting in June 2000 confessed to having not heard of El Niño before). This has not always been the case. Global recognition of this phenomenon is the result of two decades of a widely coordinated intern ...
... El Niño has become a common term in much of the world (only one of ~80 participants in the GAFOS meeting in June 2000 confessed to having not heard of El Niño before). This has not always been the case. Global recognition of this phenomenon is the result of two decades of a widely coordinated intern ...
- wgiss
... • Operational Forecasting• Ensemble Prediction Access: flow-dependant prediction of weather and climate- nowcasting, medium range and seasonal. • Atmospheric and Oceanic Research• Scalar and Vector processing and Workstation models • Model output statistics; reanalysis; data assimilation techniques ...
... • Operational Forecasting• Ensemble Prediction Access: flow-dependant prediction of weather and climate- nowcasting, medium range and seasonal. • Atmospheric and Oceanic Research• Scalar and Vector processing and Workstation models • Model output statistics; reanalysis; data assimilation techniques ...
J.T. Reddick Middle School 6th Grade Earth Science Course
... J.T. Reddick Middle School 6th Grade Earth Science Course Syllabus 2014-2015 Course: Unit 5 “Weather and Climate” Textbook: Prentice Hall Science Explorer – Georgia Earth Science (pages 392, 398-402, 404, 414-424, 432-464, and 472-479) Unit Overview: Meteorology is the study of the atmospheric condi ...
... J.T. Reddick Middle School 6th Grade Earth Science Course Syllabus 2014-2015 Course: Unit 5 “Weather and Climate” Textbook: Prentice Hall Science Explorer – Georgia Earth Science (pages 392, 398-402, 404, 414-424, 432-464, and 472-479) Unit Overview: Meteorology is the study of the atmospheric condi ...
World Climate Research Programme (WCRP). Dr. David Carson
... enhancing understanding of how energy and water cycle processes contribute to climate feedbacks developing improved parametrizations encapsulating these processes and feedbacks for atmospheric circulation models ...
... enhancing understanding of how energy and water cycle processes contribute to climate feedbacks developing improved parametrizations encapsulating these processes and feedbacks for atmospheric circulation models ...
Projected change in global fisheries revenues and effort under
... • Testing model implementation of the linkages between DBEM and fishing dynamic model; • Application of case studies e.g., Bangladesh, Solomon Islands, with the focus on nutritional security; • Linkages to macro-economic model (University of Akansas). ...
... • Testing model implementation of the linkages between DBEM and fishing dynamic model; • Application of case studies e.g., Bangladesh, Solomon Islands, with the focus on nutritional security; • Linkages to macro-economic model (University of Akansas). ...
Document
... features related to regional forcings such as orography, lakes, complex coastlines, and heterogeneous land use. • GCMs at 200 – 250 km resolution provide reasonable large scale conditions for downscaling. ...
... features related to regional forcings such as orography, lakes, complex coastlines, and heterogeneous land use. • GCMs at 200 – 250 km resolution provide reasonable large scale conditions for downscaling. ...
Printer-friendly Version
... of precipitation and the duration of the rainy season is thought to be the main limiting factor for the tropical vegetation development, the temporal evolution of Afromontane Podocarpus resembles that of tropical East African temperature (Figure 4; Tierney et al., 2008). This suggests that in tropic ...
... of precipitation and the duration of the rainy season is thought to be the main limiting factor for the tropical vegetation development, the temporal evolution of Afromontane Podocarpus resembles that of tropical East African temperature (Figure 4; Tierney et al., 2008). This suggests that in tropic ...
EC-EARTH: goals, developments and scientific perspectives
... variability beyond seasonal to interannual time scales. A few years ago, it was henceforth decided by the European Centre for Medium-range Weather Forecast (ECMWF) member states that it would be imperative to initiate the development of an ESM, and the ECMWF weather prediction model was chosen as a ...
... variability beyond seasonal to interannual time scales. A few years ago, it was henceforth decided by the European Centre for Medium-range Weather Forecast (ECMWF) member states that it would be imperative to initiate the development of an ESM, and the ECMWF weather prediction model was chosen as a ...
Anticipated future lake levels on Superior, Michigan
... record high water levels on Lake Superior and both record high and low water levels on Lakes Michigan and Huron. The CGCM1 model does not include any representation of the Great Lakes nor interactions between the lakes and the atmosphere. The British Hadley Climate Centre's HadCM2 model does include ...
... record high water levels on Lake Superior and both record high and low water levels on Lakes Michigan and Huron. The CGCM1 model does not include any representation of the Great Lakes nor interactions between the lakes and the atmosphere. The British Hadley Climate Centre's HadCM2 model does include ...
L1 Biosphere
... • Time is usually at least 30 years. • The weather today may be very different than the weather one year ago, but the climate is an average. ...
... • Time is usually at least 30 years. • The weather today may be very different than the weather one year ago, but the climate is an average. ...
Atmospheric model
An atmospheric model is a mathematical model constructed around the full set of primitive dynamical equations which govern atmospheric motions. It can supplement these equations with parameterizations for turbulent diffusion, radiation, moist processes (clouds and precipitation), heat exchange, soil, vegetation, surface water, the kinematic effects of terrain, and convection. Most atmospheric models are numerical, i.e. they discretize equations of motion. They can predict microscale phenomena such as tornadoes and boundary layer eddies, sub-microscale turbulent flow over buildings, as well as synoptic and global flows. The horizontal domain of a model is either global, covering the entire Earth, or regional (limited-area), covering only part of the Earth. The different types of models run are thermotropic, barotropic, hydrostatic, and nonhydrostatic. Some of the model types make assumptions about the atmosphere which lengthens the time steps used and increases computational speed.Forecasts are computed using mathematical equations for the physics and dynamics of the atmosphere. These equations are nonlinear and are impossible to solve exactly. Therefore, numerical methods obtain approximate solutions. Different models use different solution methods. Global models often use spectral methods for the horizontal dimensions and finite-difference methods for the vertical dimension, while regional models usually use finite-difference methods in all three dimensions. For specific locations, model output statistics use climate information, output from numerical weather prediction, and current surface weather observations to develop statistical relationships which account for model bias and resolution issues.