Leonard A Smith
Biographic Data
| ID | 5969301 |
|---|---|
| NAME | Leonard A Smith |
| GIVEN NAMES | Leonard A |
| FAMILY NAME | Smith |
| SIGNATURE | SMITH L A |
| AFFILIATIONS | University of North Carolina at Pembroke |
| VERIFIED | No |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 38 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2010 |
| LATEST PUBLICATION YEAR | 2017 |
| H-INDEX | 4 |
Utilizing Ayurvedic literature for the identification of novel phytochemical inhibitors of botulinum neurotoxin A
An assessment of the foundational assumptions in high-resolution climate projections: The case of UKCP09
Laplace’s Demon and the Adventures of His Apprentices
The sensitive dependence on initial conditions (SDIC) associated with nonlinear models imposes limitations on the models’ predictive power. We draw attention to an additional limitation than has been underappreciated, namely, structural model error (SME). A model has SME if the model dynamics differ from the dynamics in the target system. If a nonlinear model has only the slightest SME, then its ability to generate decision-relevant predictions i…
The Myopia of Imperfect Climate Models: The Case of UKCP09
The United Kingdom Climate Impacts Program’s UKCP09 project makes high-resolution forecasts of climate during the twenty-first century using state of the art global climate models. The aim of this article is to introduce and analyze the methodology used and then urge some caution. Given the acknowledged systematic errors in all current climate models, treating model outputs as decision-relevant probabilistic forecasts can be seriously misleading.…
Adaptation to Global Warming: Do Climate Models Tell Us What We Need to Know
Scientific experts have confirmed that anthropogenic warming is underway, and some degree of adaptation is now unavoidable. However, the details of impacts on the scale of climate change at which humans would have to prepare for and adjust to them are still the subject of considerable research, inquiry, and debate. Planning for adaptation requires information on the scale over which human organizations and institutions have authority and capacity…
Laplace’s Demon and the Adventures of His Apprentices
The sensitive dependence on initial conditions (SDIC) associated with nonlinear models imposes limitations on the models’ predictive power. We draw attention to an additional limitation than has been underappreciated, namely, structural model error (SME). A model has SME if the model dynamics differ from the dynamics in the target system. If a nonlinear model has only the slightest SME, then its ability to generate decision-relevant predictions i…
The Myopia of Imperfect Climate Models: The Case of UKCP09
The United Kingdom Climate Impacts Program’s UKCP09 project makes high-resolution forecasts of climate during the twenty-first century using state of the art global climate models. The aim of this article is to introduce and analyze the methodology used and then urge some caution. Given the acknowledged systematic errors in all current climate models, treating model outputs as decision-relevant probabilistic forecasts can be seriously misleading.…
An assessment of the foundational assumptions in high-resolution climate projections: The case of UKCP09
Adaptation to Global Warming: Do Climate Models Tell Us What We Need to Know
Scientific experts have confirmed that anthropogenic warming is underway, and some degree of adaptation is now unavoidable. However, the details of impacts on the scale of climate change at which humans would have to prepare for and adjust to them are still the subject of considerable research, inquiry, and debate. Planning for adaptation requires information on the scale over which human organizations and institutions have authority and capacity…
Adaptation to Global Warming: Do Climate Models Tell Us What We Need to Know
Scientific experts have confirmed that anthropogenic warming is underway, and some degree of adaptation is now unavoidable. However, the details of impacts on the scale of climate change at which humans would have to prepare for and adjust to them are still the subject of considerable research, inquiry, and debate. Planning for adaptation requires information on the scale over which human organizations and institutions have authority and capacity…
The Myopia of Imperfect Climate Models: The Case of UKCP09
The United Kingdom Climate Impacts Program’s UKCP09 project makes high-resolution forecasts of climate during the twenty-first century using state of the art global climate models. The aim of this article is to introduce and analyze the methodology used and then urge some caution. Given the acknowledged systematic errors in all current climate models, treating model outputs as decision-relevant probabilistic forecasts can be seriously misleading.…
Laplace’s Demon and the Adventures of His Apprentices
The sensitive dependence on initial conditions (SDIC) associated with nonlinear models imposes limitations on the models’ predictive power. We draw attention to an additional limitation than has been underappreciated, namely, structural model error (SME). A model has SME if the model dynamics differ from the dynamics in the target system. If a nonlinear model has only the slightest SME, then its ability to generate decision-relevant predictions i…
An assessment of the foundational assumptions in high-resolution climate projections: The case of UKCP09
Utilizing Ayurvedic literature for the identification of novel phytochemical inhibitors of botulinum neurotoxin A
Computer Science (4 works) · Artificial Intelligence (3 works) · Artificial Intelligence (3 works) · Climate change (3 works) · Probabilistic logic (3 works) · Atmospheric and Environmental Gas Dynamics (2 works) · Climate model (2 works) · Climate variability and models (2 works) · Geography (2 works) · Geology (2 works)