| Titre de série : |
Monthly weather review, 4 |
| Titre : |
The estimation of monthly rainfall from satellite data |
| Type de document : |
texte imprimé |
| Auteurs : |
Eric, B. C. |
| Mention d'édition : |
University of Bristol |
| Editeur : |
University of Bristol |
| Année de publication : |
1969 |
| ISBN/ISSN/EAN : |
CI-04958 |
| Note générale : |
The global distribution of precipitation is an outstanding example of a pattern whose form cannot be deduced very stisfactorily from conventional observational data. Many investigations of the global hydrological cycle across real periods of teme are based on broadly generalized assumptions concerning rainfall patherns, especially over the world's oceans. This paper explores the feasibility of emplouing observational data from meteorological satallites to yield more acceptable maps of rainfall across periods of 1 mo and upward than is possible using conventional surface measurements, whose distributions are less uniform, and whose derivations are more heterogeneous, than the satellite data coverage. |
| Langues : |
Anglais (eng) |
| Mots-clés : |
PRECIPITATIONS Satellite Méthodologie Photographie aérienne |
| Index. décimale : |
551.57 Hydrométéorologie : brouillard, nuages, précipitations |
| Résumé : |
The global distribution of precipitation is an outstanding example of a pattern whose form cannot be deduced very stisfactorily from conventional observational data. Many investigations of the global hydrological cycle across real periods of teme are based on broadly generalized assumptions concerning rainfall patherns, especially over the world's oceans. This paper explores the feasibility of emplouing observational data from meteorological satallites to yield more acceptable maps of rainfall across periods of 1 mo and upward than is possible using conventional surface measurements, whose distributions are less uniform, and whose derivations are more heterogeneous, than the satellite data coverage. |
| Note de contenu : |
The global distribution of precipitation is an outstanding example of a pattern whose form cannot be deduced very stisfactorily from conventional observational data. Many investigations of the global hydrological cycle across real periods of teme are based on broadly generalized assumptions concerning rainfall patherns, especially over the world's oceans. This paper explores the feasibility of emplouing observational data from meteorological satallites to yield more acceptable maps of rainfall across periods of 1 mo and upward than is possible using conventional surface measurements, whose distributions are less uniform, and whose derivations are more heterogeneous, than the satellite data coverage. |
Monthly weather review, 4. The estimation of monthly rainfall from satellite data [texte imprimé] / Eric, B. C. . - University of Bristol . - University of Bristol, 1969. ISSN : CI-04958 The global distribution of precipitation is an outstanding example of a pattern whose form cannot be deduced very stisfactorily from conventional observational data. Many investigations of the global hydrological cycle across real periods of teme are based on broadly generalized assumptions concerning rainfall patherns, especially over the world's oceans. This paper explores the feasibility of emplouing observational data from meteorological satallites to yield more acceptable maps of rainfall across periods of 1 mo and upward than is possible using conventional surface measurements, whose distributions are less uniform, and whose derivations are more heterogeneous, than the satellite data coverage. Langues : Anglais ( eng)
| Mots-clés : |
PRECIPITATIONS Satellite Méthodologie Photographie aérienne |
| Index. décimale : |
551.57 Hydrométéorologie : brouillard, nuages, précipitations |
| Résumé : |
The global distribution of precipitation is an outstanding example of a pattern whose form cannot be deduced very stisfactorily from conventional observational data. Many investigations of the global hydrological cycle across real periods of teme are based on broadly generalized assumptions concerning rainfall patherns, especially over the world's oceans. This paper explores the feasibility of emplouing observational data from meteorological satallites to yield more acceptable maps of rainfall across periods of 1 mo and upward than is possible using conventional surface measurements, whose distributions are less uniform, and whose derivations are more heterogeneous, than the satellite data coverage. |
| Note de contenu : |
The global distribution of precipitation is an outstanding example of a pattern whose form cannot be deduced very stisfactorily from conventional observational data. Many investigations of the global hydrological cycle across real periods of teme are based on broadly generalized assumptions concerning rainfall patherns, especially over the world's oceans. This paper explores the feasibility of emplouing observational data from meteorological satallites to yield more acceptable maps of rainfall across periods of 1 mo and upward than is possible using conventional surface measurements, whose distributions are less uniform, and whose derivations are more heterogeneous, than the satellite data coverage. |
|  |
Faire une suggestion Affiner la recherche
