JOHN L. INNES University of British Columbia, Vancouver, Canada The interactions between biomass burning and climate have been brought into focus by a number of recent events. Firstly, the Framework Convention on Climate Change and, more recently, the Kyoto Protocol, have drawn the attention of policy makers and others to the importance of biomass burning in relation to atmospheric carbon dioxide concentrations. Secondly, the use of prescribed fires has become a major management tool in some countries; with for example the area with fuel treatments (which include prescribed burns and mechanical treatments) having increased on US National Forest System lands from 123,000 ha in 1985 to 677,000 ha in 1998. Thirdly, large numbers of forest fires in Indonesia, Brazil, Australia and elsewhere in 1997 and 1998 received unprecedented media attention. Consequently, it is appropriate that one of the Wengen Workshops on Global Change Research be devoted to the relationships between biomass burning and climate. This volume includes many of the papers presented at the workshop, but is also intended to act as a contribution to the state of knowledge on the int- relationships between biomass burning and climate change. Previous volumes on biomass burning (e. g. Goldammer 1990, Levine 1991a, Crutzen and Goldammer 1993, Levine 1996a, 1996b, Van Wilgen et al. 1997) have stressed various aspects of the biomass-climate issue, and provide a history of the development of our understanding of the many complex relationships that are involved

M. Verstraete (1) and M. Menenti (2, 3) (1) Space Applications Institute, Ispra, Italy, (2) The Winand Staring Centre for Integrated Land, Soil and Water Research, Wageningen, The Netherlands and (3) Universite Louis Pasteur, Illkirch, France. The European Network for the development of Advanced Models to interpret Optical Remote Sensing data over terrestrial environments (ENAMORS) is a consortium of academic and research institutions involved in methodological research and in applications of remote sensing techniques for Earth Observation. It was supported initially through a Concerted Action from the Environment and Climate Research and Technology Development Program in the 4th Framework Program of the European Commission. Its activities include the organization of international scientific conferences, the first of which took place in Tuusula, Finland, from September 17 to 19, 1997. This book contains the proceedings of that conference and effectively summarizes the discussions and conclusions reached by the participants. The title of this meeting was 'Optical Remote Sensing of Terrestrial Surfaces: New Sensors, Advanced Algorithms, and the Opportunity for Novel Applications'. It aimed at assembling representatives from the policy maker, remote sensing research and end-user communities, as well as from national and international space agencies and aerospace industries. Together, they discussed the need for R&D support, as well as the contents and priorities of such a program in this economic sector during the period covered by the 5th Framework Program (1999--2002)."

1 2 Michel M. VERSTRAETE and Martin BENISTON 1 Space Applications Institute, EC Joint Research Centre, Ispra, Italy 2 Department of Geography, University of Fribourg, Switzerland This volume contains the proceedings ofthe workshop entitled "Satellite Remote Sensing and Climate Simulations: Synergies and Limitations" that took place in Les Diablerets, Switzerland, September 20-24, 1999. This international scientific conference aimed at addressing the current and pot- tial role of satellite remote sensing in climate modeling, with a particular focus on land surface processes and atmospheric aerosol characterization. Global and regional circulation models incorporate our knowledge ofthe dynamics ofthe Earth's atmosphere. They are used to predict the evolution of the weather and climate. Mathematically, this system is represented by a set ofpartial differential equations whose solution requires initial and bo- dary conditions. Limitations in the accuracy and geographical distribution of these constraints, and intrinsic mathematical sensitivity to these conditions do not allow the identification of a unique solution (prediction). Additional observations on the climate system are thus used to constrain the forecasts of the mathematical model to remain close to the observed state ofthe system.

JOHN L. INNES University of British Columbia, Vancouver, Canada The interactions between biomass burning and climate have been brought into focus by a number of recent events. Firstly, the Framework Convention on Climate Change and, more recently, the Kyoto Protocol, have drawn the attention of policy makers and others to the importance of biomass burning in relation to atmospheric carbon dioxide concentrations. Secondly, the use of prescribed fires has become a major management tool in some countries; with for example the area with fuel treatments (which include prescribed burns and mechanical treatments) having increased on US National Forest System lands from 123,000 ha in 1985 to 677,000 ha in 1998. Thirdly, large numbers of forest fires in Indonesia, Brazil, Australia and elsewhere in 1997 and 1998 received unprecedented media attention. Consequently, it is appropriate that one of the Wengen Workshops on Global Change Research be devoted to the relationships between biomass burning and climate. This volume includes many of the papers presented at the workshop, but is also intended to act as a contribution to the state of knowledge on the int- relationships between biomass burning and climate change. Previous volumes on biomass burning (e. g. Goldammer 1990, Levine 1991a, Crutzen and Goldammer 1993, Levine 1996a, 1996b, Van Wilgen et al. 1997) have stressed various aspects of the biomass-climate issue, and provide a history of the development of our understanding of the many complex relationships that are involved

M. Verstraete (1) and M. Menenti (2, 3) (1) Space Applications Institute, Ispra, Italy, (2) The Winand Staring Centre for Integrated Land, Soil and Water Research, Wageningen, The Netherlands and (3) Universite Louis Pasteur, Illkirch, France. The European Network for the development of Advanced Models to interpret Optical Remote Sensing data over terrestrial environments (ENAMORS) is a consortium of academic and research institutions involved in methodological research and in applications of remote sensing techniques for Earth Observation. It was supported initially through a Concerted Action from the Environment and Climate Research and Technology Development Program in the 4th Framework Program of the European Commission. Its activities include the organization of international scientific conferences, the first of which took place in Tuusula, Finland, from September 17 to 19, 1997. This book contains the proceedings of that conference and effectively summarizes the discussions and conclusions reached by the participants. The title of this meeting was 'Optical Remote Sensing of Terrestrial Surfaces: New Sensors, Advanced Algorithms, and the Opportunity for Novel Applications'. It aimed at assembling representatives from the policy maker, remote sensing research and end-user communities, as well as from national and international space agencies and aerospace industries. Together, they discussed the need for R&D support, as well as the contents and priorities of such a program in this economic sector during the period covered by the 5th Framework Program (1999--2002)."

1 2 Michel M. VERSTRAETE and Martin BENISTON 1 Space Applications Institute, EC Joint Research Centre, Ispra, Italy 2 Department of Geography, University of Fribourg, Switzerland This volume contains the proceedings ofthe workshop entitled "Satellite Remote Sensing and Climate Simulations: Synergies and Limitations" that took place in Les Diablerets, Switzerland, September 20-24, 1999. This international scientific conference aimed at addressing the current and pot- tial role of satellite remote sensing in climate modeling, with a particular focus on land surface processes and atmospheric aerosol characterization. Global and regional circulation models incorporate our knowledge ofthe dynamics ofthe Earth's atmosphere. They are used to predict the evolution of the weather and climate. Mathematically, this system is represented by a set ofpartial differential equations whose solution requires initial and bo- dary conditions. Limitations in the accuracy and geographical distribution of these constraints, and intrinsic mathematical sensitivity to these conditions do not allow the identification of a unique solution (prediction). Additional observations on the climate system are thus used to constrain the forecasts of the mathematical model to remain close to the observed state ofthe system.

clinical efficacy of haemostatic agents had to be published work and had to fulftl most of the following minimum requirements: (1) Quantitation ofthe measured blood loss was required, and not merely a clinical impression of the amount of blood lost, if the document pertained to a planned but "open" clinical trial. (2) Only double-blind trials with random allocation of the placebo and experimental drug to preselected patients were considered suitable for discussion, if the blood loss had not been quantitated in a prospective trial. (3) Defmition and appropriate selection of patients admitted to the trial: all inclusion and exclusion criteria used to select patients had to be mentioned in detail. (4) Once included in the trial, patients could be withdrawn only on the basis of strict criteria for withdrawal which had been defined in advance. (5) A double-blind trial had to be continued for an adequate length of time if the haemostatic agent was being assessed in the prevention of bleeding in patients with a long lasting bleeding disorder . (6) A clear and detailed statistical analysis of the results was required. Moreover, a clear distinction between the therapeutic and prophylactic value of the haemostatic agent had to be made and applied separately to the group of patients without any major basic disorder and those with a bleeding disorder e.g. : chronic thrombocytopenia, haemophilia, Rendu-Osler telangiectasia ... General statements not substantiated by experimental data, even when issued by well-known authorities, were not considered a reasonable basis for discussion.