IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217)最新文献

Satellite remote sensing of the liquid water sensitivity in water clouds 卫星遥感对水云中液态水的敏感性

IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217) Pub Date : 2013-08-07 DOI: 10.1109/IGARSS.2001.976742

Qingyuan Hart, Willi tm, B. Rossow, Jane Zeng, Ronald Welch, AL Huntsville

{"title":"Satellite remote sensing of the liquid water sensitivity in water clouds","authors":"Qingyuan Hart, Willi tm, B. Rossow, Jane Zeng, Ronald Welch, AL Huntsville","doi":"10.1109/IGARSS.2001.976742","DOIUrl":"https://doi.org/10.1109/IGARSS.2001.976742","url":null,"abstract":"In estimation of the aerosol indirect effect, cloud liquid water path is considered either constant (Twomey effect) or increasing with enhanced droplet number concentrations (drizzle-suppression effect, or Albrecht effect) if cloud microphysics is the prevailing mechanism during the aerosol-cloud interactions. On the other hand, if cloud thermodynamics and dynamics are considered, the cloud liquid water path may be decreased with increasing droplet number concentration, which is predicted by model calculations and observed in ship-track and urban influence studies. This study is to examine the different responses of cloud liquid water path to changes of cloud droplet number concentration. Satellite data (January, April, July and October 1987) are used to retrieve the cloud liquid water sensitivity, defined as the changes of liquid water path versus changes of column droplet number concentrations. The results of a global survey reveal that (1) at least one third of the cases the cloud liquid water sensitivity is negative, the regional and seasonal variations of the negative liquid water sensitivity are consistent with other observations; (2) cloud droplet sizes are always inversely proportional to column droplet number concentrations.","PeriodicalId":135740,"journal":{"name":"IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123763810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

High resolution wind retrieval from SeaWinds 从SeaWinds获取高分辨率风

IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217) Pub Date : 2003-11-05 DOI: 10.1109/IGARSS.2001.977944

D. Long

引用次数: 3

Progress report on the NASA/JPL airborne synthetic aperture radar system NASA/JPL机载合成孔径雷达系统进展报告

IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217) Pub Date : 2001-07-12 DOI: 10.1109/IGARSS.2001.977898

Y. Lou, D. Imel, A. Chu, T. Miller, D. Moller, W. Skotnicki

引用次数: 10

Using VisAD to build tools for visualizing and analyzing remotely sensed data 使用VisAD构建可视化和分析遥感数据的工具

IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217) Pub Date : 2001-07-09 DOI: 10.1109/IGARSS.2001.976103

D. Murray, B. Hibbard, T. Whittaker, J. Kelly

引用次数: 4

InSAR analysis of Miyake-jima volcano with Radarsat images 利用Radarsat图像对三宅岛火山进行InSAR分析

IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217) Pub Date : 2001-07-09 DOI: 10.1109/IGARSS.2001.978235

H. Ohkura, M. Shimada

引用次数: 2

Modeling variability in hyperspectral imagery using a stochastic compositional approach 利用随机合成方法模拟高光谱图像中的变异性

IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217) Pub Date : 2001-07-09 DOI: 10.1109/IGARSS.2001.978008

D. Stein

引用次数: 3

A two-layer canopy reflectance model for the anisotropic scattering of the vegetation canopy and background 植被冠层与背景各向异性散射的两层冠层反射模型

IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217) Pub Date : 2001-07-09 DOI: 10.1109/IGARSS.2001.976849

S. Liangrocapart

引用次数: 0

Analysis of multispectral urban images using adaptive resonance theory 基于自适应共振理论的多光谱城市图像分析

IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217) Pub Date : 2001-07-09 DOI: 10.1109/IGARSS.2001.978308

P. Thitimajshima

引用次数: 0

Global 1 degree monthly sea surface temperature comparisons 全球每月1度的海面温度比较

IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217) Pub Date : 2001-07-09 DOI: 10.1109/IGARSS.2001.978078

E. Armstrong, J. Vázquez

{"title":"Global 1 degree monthly sea surface temperature comparisons","authors":"E. Armstrong, J. Vázquez","doi":"10.1109/IGARSS.2001.978078","DOIUrl":"https://doi.org/10.1109/IGARSS.2001.978078","url":null,"abstract":"Comprehensive global comparisons have been made between two satellite-based sea surface temperature (SST) products and related blended satellite/in situ SST products. The satellite SST data sets were those derived from advanced very high resolution radiometer (AVHRR) data using the modified Pathfinder SST (MPSST) and operational NOAA SST (ONSST) algorithms (collectively referred to as satellite SST data). The blended satellite/in situ data included the NOAA Optimal Interpolation (OI) and 2-dimensional variational analysis (2DVAR) SST data sets, and the UK Meteorological Hadley Center Global Sea-Ice and Sea Surface Temperature (HADISST) data set (collectively referred to as \"analysis SST data\"). Global monthly comparisons for co-located 1 degree squares using standard statistics were computed. Only data from each SST data set from 1985-1997 were used in these comparisons and the satellite data were separated into day/night time periods. Statistics for each comparison set (e.g. MPSST/OI, ONSST/OI etc.) were then generated to determine the global mean bias, RMS differences, standard deviation of bias, and correlation values. These statistics were examined to determine how well the MPSST product performs with respect to the ONSST on a monthly and seasonal basis. Preliminary results indicate that with respect to the mean bias, the ONSST comparisons generally have a lower bias in the low variability central ocean basin region while the MPSST has the significantly lower bias in high variability areas (e.g. western boundary currents). The RMS difference comparisons indicate that the ONSST is on average lower during the nighttime while the MPSST performs better during the daytime.","PeriodicalId":135740,"journal":{"name":"IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121354461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Methods of estimating ridging of Antarctic sea ice 估算南极海冰脊化的方法

IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217) Pub Date : 2001-07-09 DOI: 10.1109/IGARSS.2001.978212

V. Lytle, R. Massom, A. Worby

{"title":"Methods of estimating ridging of Antarctic sea ice","authors":"V. Lytle, R. Massom, A. Worby","doi":"10.1109/IGARSS.2001.978212","DOIUrl":"https://doi.org/10.1109/IGARSS.2001.978212","url":null,"abstract":"Estimating the sea ice thickness surrounding Antarctica is important for determining the ocean-atmosphere heat fluxes, the salt flux to the ocean and for verifying global climate models. A widespread method of estimating ice thickness in the Antarctic is the use of ice observation data. These data are collected by ship-based observers who estimate the sea ice and snow properties hourly as the ship transects the pack. This is a relatively low-cost method of collecting data on ice properties, and data can be collected in all weather conditions, both day and night. However, it is limited to the region of the pack immediately around the ship, and consequently to ice regimes that the ship transects. The largest uncertainty in estimating the total ice volume is from the estimates of the ridging properties (average ridge height and percent ridging). To help quantify this error, we compared the ice observation data to ridge distribution data collected using aerial photography. The number of ridges, and the volume of ice contained in these ridges are estimated using 505 aerial photographs. Using a ridge cut-off height of 0.4 m, 0.8 m and 1.0 m, the ridge frequency is 60 km/sup -1/, 12 km/sup -1/ and 6 km/sup -1/, respectively. Using the same cut-off heights, these ridges are estimated to add 0.7 m, 0.4 m, and 0.3 m to the area-averaged, undeformed ice thickness. Different ridging regimes are also compared to backscatter values obtained from synthetic aperture radar (SAR) data collected from RADARSAT-1.","PeriodicalId":135740,"journal":{"name":"IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127434289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0