Chapter 3 3.4 Crop growth and its modeling 3.4.1 Components of plant growth 3.4.2 Empirical models 3.4.3 Process-based models 3.4.4 Case studies Date

Chap. Climate/Change and Agriculture 3.1 Environment and plant growth 3.2 Inventory of climate resources 3.3 Plant growth and crop growth models 3.4 Impacts of climate changes on agriculture

Chapter 3 Chap. Climate/Change and Agriculture 3.1 Environment and plant growth 3.2 Inventory of climate resources 3.4 Plant growth and crop growth models 3.5 Impacts of climate changes on agriculture

Course for graduate students Goals of the course Understanding of basic theories on impacts of climate/changes Knowing of basic tools or methods on assessment of climate/change impacts Applications in your interested field studies

Parallel Climate Model Effort (Version 1) This is a joint effort to develop a DOE-sponsored parallel climate model between Los Alamos National aboratory (LANL), the Naval Postgraduate School (NPG), the US Army Corps of Engineers' Cold

CCCma has develped a number of climate simulation models for climate prediction, study of climate change and variability, and to better understand the various processes which govern our climate system. A brief description of these models and their corresponding references can be found in this section

HadCM3--Coupled atmosphere-Ocean general circulation model HadCM3 is a coupled atmosphere-ocean general circulation model(AOGCM)developed at the Hadley Centre and described by gordon et al (2000)and Pope et al (2000). Unlike earlier AOGCMs at the Hadley

There are two main limit ations in the use of Hoo theory for compensator design. First, only full complex perturb ations() Cnm can be treated in a non-conservative way in an Ho robust st ability test. Second, robust performance can only be handled in a conservative way even for full complex perturbations since st ability and performance can not be separated in the Hoo structure

Above, analysis for multivariable control systems with respect to nominal and robust st ability as well as nominal and robust performan has been assessed. It was assumed that the spec- ifications for robustness were given in terms of weight matrices Wu(s) and Wu2(s), and that the performance specifications similarly were given by weight matrices Wpi(s) and Wp2()

In this chapter a number of tools for the analysis of multivariable systems will be given.In particular, this will indude poles and zeros of multivariable sy stems the generalized Nyquist Theorem for st ability analysis of multivariable sy stems, and frequency responses for multi-