In this chapter, st ability and performance for multivariable systems with uncertainty will be considered. Consider a general multivariable system as depicted in Figure 5.1. All signals will in general be vectors, and G() and K(s) will be transfer matrices. d(s) is an output distur- bance signal and n() represents

CCSM(Coupled Model) releases Each release includes the complete collection of component model source code, documentation, input data Model output data is available Release date d CCSM 3. 0 June 2004 Notable

Climate change output CSIRO Atmospheric Research Technical Paper No 37, 1998 Kevin J. Hennessy Contents Abstract Global climate models Regional climate models CsiRo climate models

R30 Model One of the simulations conducted as part of the GFDL-University Consortium project is a 17 year simulation in which the lower boundary conditions repeat the mean seasonal cycle. Attributes of the model simulation are given below

Chapter 2 Chap. 2 Climate and Its Change -Background Knowledge 2.1 Climate and climate system 2.2 Climate changes 2.3 Climate models and its applications Date Assessment of climate/change impacts

Content Chap.1 Introduction Chap. 2 Background knowledge-Climate Change Chap. 3 Climate/change and agriculture Chap. 4 Climate/change and water resources Chap. Climate/change and land resources Chap. 6 Climate/change and disasters

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

Chap. 4 Climate/Change and Water Resources Quantity assessment of water resources Available water resources Supplying water resources Water resources requirement Quality assessment of water resources Impacts of climate changes on water resources

5.4 Land degradation--Soil erosion (1) Types of land degradation (2) Classification of soil erosion (3) Climate and soil erosion (4) Soil erosion models (5) Erosion and productivity (6) Rainfall factor for soil erosion model

1、支路电流法 2、网孔电流法