ANALYSES AND CALCULATION OF SOLAR RADIATION OVER NORTHERN SOUTH CHINA SEA
Notice bibliographique
Résumé
Lack of solar radiation data in the study area limited the theoretical research in simple empirical estimation formula for solar radiation and mostly for climate estimation. But sometimes we are interesting in synoptic scale and short-range climate process, in which daily solar radiation intensity needs to be estimated. This paper dealt with related problems based on the data collected in the marine survey in Xisha Island area (16°50′N, 112°20′E) in 2000 and 2002. The observation site was located in northern central South China Sea in the fringe of a reef about 300m to the southwest of Yongxing Island. Observation was done in an observatory tower. The solar radiation data were obtained twice in stages between May 8 and June 16 in 2000 (total 40days), and between April 24 and June 21 in 2002 (total 59 days). In this study, we analyzed the total solar radiation and possible influencing factors first, and then determined which factors were better for our calculation. Secondly, we built up empirical estimation formulas that mostly used cloud cover data that is fundamental for maritime meteorological study. We also tried other empirical estimation formula using total solar radiation based on cloud cover. Required corrections, such as vapor correction, were made to our calculations to obtain daily solar radiation data in the area in all possible conditions. So, firstly we carried on the contrast analysis among the solar total radiation, total cloud cover, lower cloud cover, and sunshine duration. It was found that the total solar radiation was best related to sunshine duration, followed by lower cloud cover and total cloud cover. Secondly, from the sake of calculation, we constructed a formula for getting solar total radiation, parameterized by total cloud cover, lower cloud cover and vapor, by multivariate linear regression out of the observed radiation data in 2000, with necessary error analysis and contrast analysis with the predecessors. We found that vapor correction can only improve the precision a little of total solar radiation. Thirdly, we constructed an estimation formula for solar total radiation out of all the factors above-listed. Error analysis showed that considering sunshine duration in observation area could raise estimation precision for daily solar radiation intensity, which would reduce error by 50%. Finally, we performed an independence test using Year 2002 data and confirmed the reliability of the result above. And we also apply the formula to the estimation for daily variation of the solar total radiation in phases before the SCS monsoon break. It was found that the total solar radiation increase slowly all the times. In overall, tagging item of observed sunshine duration in calculation for some area is very useful to research daily solar radiation variation, which can greatly enhance the estimation precision for daily solar radiation intensity.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».