scholarly journals Asian Dust Detection from the Satellite Observations of Moderate Resolution Imaging Spectroradiometer (MODIS)

2012 ◽  
Vol 12 (6) ◽  
pp. 1073-1080 ◽  
Author(s):  
Xuepeng Zhao
Keyword(s):  
Asian Dust ◽  
Satellite Observations ◽  
Dust Detection ◽  
Moderate Resolution ◽  
Resolution Imaging ◽  
Moderate Resolution Imaging Spectroradiometer

scholarly journals Estimates of the vertical distribution of desert dust and conden-sation nuclei over the Mediterranean, with the synergistic use of active and passive remote sensing techniques

2017 ◽  
Author(s):  
Ελένη Μαρίνου
Keyword(s):  
Atmospheric Model ◽  
Satellite Observations ◽  
Desert Dust ◽  
Passive Remote Sensing ◽  
Regional Atmospheric Model ◽  
Moderate Resolution ◽  
Resolution Imaging ◽  
Moderate Resolution Imaging Spectroradiometer ◽  
Remote Sensing Techniques ◽  
The Vertical Distribution

Ο πρωταρχικός στόχος αυτής της εργασίας είναι να καλύψει υπάρχοντα κενά στην αντίληψή μας σχετικά με το ρόλο της ερημικής σκόνης στις κλιματικές παραμέτρους της Μεσογείου χρησιμοποιώντας προηγμένες μεθόδους τηλεπισκόπησης. Αρχικά, η ερημική σκόνη διαχωρίζεται από τα συνολικά αερολύματα που παρέχονται από σύγχρονους δορυφορικούς αισθητήρες τηλεπισκόπησης. Το προϊόν σκόνης που παράγεται χρησιμοποιείται στην ανάπτυξη της τρισδιάστατης κατανομής του φόρτου της σκόνης πάνω από τη Μεσόγειο και τη Βόρεια Αφρική, η οποία είναι πολύ σημαντική για την επίδραση της σκόνης στην ηλιακή ακτινοβολία. Τέλος, αναπτύσσουμε κλιματολογίες των συγκεντρώσεων της σκόνης που ενεργούν ως πυρήνες παγoποίησης, για τη μελέτη της επίδρασης της σκόνης στο σχηματισμό νεφών.Η μεθοδολογία μας περιλαμβάνει τη συνέργεια παθητικών και ενεργών μετρήσεων τηλεπισκόπησης, με έμφαση στις κατακόρυφες μετρήσεις των αερολυμάτων που παρέχονται από το δορυφορικό lidar του CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations). Αρχικά, αναπτύσσουμε ένα νέο προϊόν σκόνης χρησιμοποιώντας τις μετρήσεις του CALIPSO, βασιζόμενοι σε μεθοδολογίες που έχουν αναπτυχθεί στο πλαίσιο του Ευρωπαικού επίγειου δικτύου lidar EARLINET (AErosol RObotic NETwork). Ο διαχωρισμός της σκό-νης από τους άλλους τύπους αερολυμάτων γίνεται χρησιμοποιώντας τα προφίλ του συντελεστή οπισθοσκέδασης και του λόγου αποπόλωσης του CALIPSO, καθώς και τις μετρήσεις και τις μεθόδους του EARLINET. Το προϊόν αξιολογείται με μετρήσεις από το δίκτυο AERONET (AEr-osol RObotic NETwork) και συγκρίνεται με δορυφορικές παρατηρήσεις από το MODIS (Moderate Resolution Imaging Spectroradiometer) και με κατακόρυφα προφίλ από το μοντέλο BSC-DREAM8b (Barcelona Supercomputer Center - Dust Regional Atmospheric Model). Το νέο προϊόν σκόνης χρησιμοποιείται για την παραγωγή μιας τρισδιάστατης κλιματολογίας της εξέλιξης της Σαχαριανής σκόνης πάνω από την Βόρεια Αφρική και την Ευρώπη, χρησιμοποιώντας τις δορυφορικές παρατηρήσεις του CALIPSO από το 2007 έως το 2015. Τα αποτελέσματα αναδεικνύουν την τρισδιάστατη εξέλιξη της σκόνης και τις εποχιακές διαδρομές της μεταφοράς της από τη Σαχάρα προς τη Μεσόγειο και την ηπειρωτική Ευρώπη. Το νέο προϊόν σκόνης είναι ελεύθερα διαθέσημο (κατόπιν αιτήσεως αλλά και από διάφορες ιστοσελίδες) και έχει ήδη χρησιμοποιηθεί από την παγκόσμια μετεωρολογική οργάνωση, την ευρωπαϊκή υπηρεσία διαστήματος και από συνεργάτες ερευνητές για την αξιολόγηση 3 μοντέλων μεταφοράς σκόνης, νέων προϊόντων από δορυφόρους πολικής και γεωστατικής τροχιάς και για την μελέτη της επίδρασης της σκόνης στο ισοζύγιο της ακτινοβολίας. Εδώ παρουσιάζονται τρία παραδείγματα τέτοιων εφαρμογών, με πρώτο (α) τη βελτιστοποίηση των παραμέτρων ενός μοντέλου μεταφοράς σκόνης προκειμένου να περιγραφεί η καταιγίδα σκόνης στη Μέση Ανατο-λή και την Ανατολική Μεσόγειο συνέβει το 2015, β) την κατηγοριοποίηση αερολυμάτων από το διάστημα με σκοπό τον διαχωρισμό των αερολυμάτων ανθρωπογενούς και φυσικής προέλευσης και (γ) την αξιολόγηση διαφορετικών παραμετροποιήσεων σκόνης σε περιφερειακά κλιματικά μοντέλα. Τέλος, ανακτώνται οι κατακόρυφες κατανομές συγκέντρωσης πυρήνων παγοποίησης στην περιοχή της μελέτης. Αυτό το αποτέλεσμα παρέχει μια μοναδική ευκαιρία για μελλοντική έρευνα πάνω στον ετερογενή σχηματισμού του πάγου, χρησιμοποιώντας παρατηρήσεις νεφών.

scholarly journals Forecasting Carbon Monoxide on a Global Scale for the ATom-1 Aircraft Mission: Insights from Airborne and Satellite Observations and Modeling

2018 ◽  
Author(s):  
Sarah A. Strode ◽  
Junhua Liu ◽  
Leslie Lait ◽  
Róisín Commane ◽  
Bruce Daube ◽  
...  
Keyword(s):  
Biomass Burning ◽  
Optical Thickness ◽  
Global Scale ◽  
Satellite Observations ◽  
Aerosol Optical Thickness ◽  
Large Contribution ◽  
Moderate Resolution ◽  
Resolution Imaging ◽  
Moderate Resolution Imaging Spectroradiometer ◽  
Typical Summer

Abstract. GEOS-5 forecasts and analyses show considerable skill in predicting and simulating the CO distribution and the timing of CO enhancements observed during the ATom-1 aircraft mission. Using tagged tracers for CO, we find a dominant contribution from non-biomass burning sources along the ATom transects except over the tropical Atlantic, where African biomass burning makes a large contribution to the CO concentration. One of the goals of ATom is to provide a chemical climatology over the oceans, so it is important to consider whether August 2016 was representative of typical summer conditions. Using satellite observations of 700 hPa and column CO from the Measurement of Pollution in the Troposphere (MOPITT) instrument, 215 hPa CO from the Microwave Limb Sounder (MLS), and aerosol optical thickness from the Moderate Resolution Imaging Spectroradiometer (MODIS), we find that CO concentrations and aerosol optical thickness in August 2016 were within the observed range of the satellite observations, but below the decadal median for many of the regions sampled. This suggests that the ATom-1 measurements may represent relatively clean but not exceptional conditions for lower tropospheric CO.

scholarly journals Cloud invigoration and suppression by aerosols over the tropical region based on satellite observations

2011 ◽  
Vol 11 (2) ◽  
pp. 5003-5017 ◽  
Author(s):  
F. Niu ◽  
Z. Li
Keyword(s):  
Satellite Observations ◽  
Mixed Phase ◽  
Tropical Region ◽  
Cloud Properties ◽  
Tropical Oceans ◽  
Moderate Resolution ◽  
Resolution Imaging ◽  
Moderate Resolution Imaging Spectroradiometer ◽  
Microphysical Processes ◽  
Mixed Phase Clouds

Abstract. Aerosols may modify cloud properties and precipitation via a variety of mechanisms with varying and contradicting consequences. Using a large ensemble of satellite data acquired by the Moderate Resolution Imaging Spectroradiometer onboard the Earth Observing System's Aqua platform, the CloudSat cloud profiling radar and the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) satellite over the tropical oceans, we identified two distinct responses of clouds and precipitation to increases in aerosol loading. Cloud-top temperatures decrease significantly with increasing aerosol index (AI) over oceans and aerosol optical depth (AOT) over land for mixed-phase clouds with warm cloud bases; no significant changes were found for liquid clouds. The distinct responses are explained by two mechanisms, namely, the aerosol invigoration effect and the microphysical effect. Aerosols can significantly invigorate convection mainly through ice processes, while precipitation from liquid clouds is suppressed through aerosol microphysical processes. Precipitation rates are found to increase with AI for mixed-phase clouds, but decrease for liquid clouds, suggesting that the dominant effect differs for the two types of clouds. These effects change the overall distribution of precipitation rates, leading to more or heavier rains in dirty environments than in cleaner ones.

scholarly journals Cloud phase characteristics over Southeast Asia from A-Train satellite observations

2020 ◽  
Vol 20 (13) ◽  
pp. 8267-8291
Author(s):  
Yulan Hong ◽  
Larry Di Girolamo
Keyword(s):  
Southeast Asia ◽  
Southern Oscillation ◽  
Lower Troposphere ◽  
Satellite Observations ◽  
Ice Clouds ◽  
Spectral Signatures ◽  
Clear Sky ◽  
Moderate Resolution ◽  
Resolution Imaging ◽  
Moderate Resolution Imaging Spectroradiometer

Abstract. This study examines the climatology of cloud phase over Southeast Asia (SEA) based on A-Train satellite observations. Using the combined CloudSat–CALIPSO (CC) data, five main cloud groups are investigated: ice-only, ice-above-liquid, liquid-only, ice-above-mixed, and mixed-only clouds that have annual mean frequencies of 28.6 %, 20.1 %, 16.0 %, 9.3 %, and 6.7 %, respectively. Liquid-only clouds tend to occur in relatively cold, dry, and stable lower troposphere. The other four cloud groups appear more frequently in relatively warm, humid, and unstable conditions, and their seasonal distributions move with the Asian monsoon and the Intertropical Convergence Zone (ITCZ). Liquid clouds are found to be highly inhomogeneous based on the heterogeneity index (Hσ) from Aqua Moderate Resolution Imaging Spectroradiometer (MODIS), while ice-only and mixed-only clouds are often very smooth. Ice-above-liquid clouds are more heterogeneous than ice-only clouds owing to ice clouds being optically thin. We demonstrate that the distribution of clear-sky Hσ has a long tail towards heterogeneous values that are caused by undetected subpixel cloud within both CC and MODIS datasets. The reflectance at 0.645 µm (R0.645) and brightness temperature at 11 µm (BT11) of CC ice-only, liquid-only, and ice-above-liquid clouds show peak frequencies near that of clear sky (R0.645∼0.02; BT11∼294 K), which explains why up to 30 % of these CC cloud groups are classified as clear by MODIS. In contrast, mixed-only clouds are thick (average top ∼13 km), bright (average R0.645∼0.6), and cold (average BT11 ∼234 K). Cloud phase comparison between CC and MODIS reveals only modest agreement, with the best agreement (73 %) occurring between CC ice-above-mixed and MODIS ice clouds. The intraseasonal and interannual behaviors of the all-sky Hσ and spectral signatures follow that of cloud phase and vary with the Madden–Julian oscillation (MJO) and the El Niño–Southern Oscillation (ENSO) phases.

scholarly journals The Fast Longwave and Shortwave Flux (FLASHFlux) Data Product: Single-Scanner Footprint Fluxes

2014 ◽  
Vol 53 (4) ◽  
pp. 1059-1079 ◽  
Author(s):  
David P. Kratz ◽  
Paul W. Stackhouse ◽  
Shashi K. Gupta ◽  
Anne C. Wilber ◽  
Parnchai Sawaengphokhai ◽  
...  
Keyword(s):  
Radiant Energy ◽  
Ground Truth ◽  
Satellite Observations ◽  
Data Product ◽  
Accuracy And Precision ◽  
Data Products ◽  
Moderate Resolution ◽  
Resolution Imaging ◽  
World Class ◽  
Moderate Resolution Imaging Spectroradiometer

AbstractThe Clouds and the Earth’s Radiant Energy Systems (CERES) project utilizes radiometric measurements taken aboard the Terra and Aqua spacecrafts to derive the world-class data products needed for climate research. Achieving the exceptional fidelity of the CERES data products, however, requires a considerable amount of processing to assure quality and to verify accuracy and precision, which results in the CERES data being released more than 6 months after the satellite observations. For most climate studies such delays are of little consequence; however, there are a significant number of near–real time uses for CERES data products. The Fast Longwave and Shortwave Radiative Flux (FLASHFlux) data product was therefore developed to provide a rapid release version of the CERES results, which could be made available to the research and applications communities within 1 week of the satellite observations by exchanging some accuracy for speed. FLASHFlux has both achieved this 1-week processing objective and demonstrated the ability to provide remarkably good agreement when compared with the CERES data products for both the instantaneous single-scanner footprint (SSF) fluxes and the time- and space-averaged (TISA) fluxes. This paper describes the methods used to expedite the production of the FLASHFlux SSF fluxes by utilizing data from the CERES and Moderate Resolution Imaging Spectroradiometer instruments, as well as other meteorological sources. This paper also reports on the validation of the FLASHFlux SSF results against ground-truth measurements and the intercomparison of FLASHFlux and CERES SSF results. A complementary paper will discuss the production and validation of the FLASHFlux TISA fluxes.

scholarly journals Influence of Straw Burning on Urban Air Pollutant Concentrations in Northeast China

2019 ◽  
Vol 16 (8) ◽  
pp. 1379 ◽  
Author(s):  
Zhenzhen Wang ◽  
Jianjun Zhao ◽  
Jiawen Xu ◽  
Mingrui Jia ◽  
Han Li ◽  
...  
Keyword(s):  
Northeast China ◽  
Arable Land ◽  
Pollution Index ◽  
Air Pollutant ◽  
Thermal Anomalies ◽  
Pollutant Concentrations ◽  
Moderate Resolution ◽  
Resolution Imaging ◽  
Straw Burning ◽  
Moderate Resolution Imaging Spectroradiometer

Northeast China is China’s primary grain production base. A large amount of crop straw is incinerated every spring and autumn, which greatly impacts air quality. To study the degree of influence of straw burning on urban pollutant concentrations, this study used The Moderate-Resolution Imaging Spectroradiometer/Terra Thermal Anomalies & Fire Daily L3 Global 1 km V006 (MOD14A1) and The Moderate-Resolution Imaging Spectroradiometer/Aqua Thermal Anomalies and Fire Daily L3 Global 1 km V006 (MYD14A1) data from 2015 to 2017 to extract fire spot data on arable land burning and to study the spatial distribution characteristics of straw burning on urban pollutant concentrations, temporal variation characteristics and impact thresholds. The results show that straw burning in Northeast China is concentrated in spring and autumn; the seasonal spatial distributions of PM2.5, PM10 andAir Quality Index (AQI) in 41 cities or regions in Northeast China correspond to the seasonal variation of fire spots; and pollutants appear in the peak periods of fire spots. In areas where the concentration coefficient of rice or corn is greater than 1, the number of fire spots has a strong correlation with the urban pollution index. The correlation coefficient R between the number of burned fire spots and the pollutant concentration has a certain relationship with the urban distribution. Cities are aggregated in geospatial space with different R values.

scholarly journals A Climatological Assessment of Intense Desert Dust Episodes over the Broader Mediterranean Basin Based on Satellite Data

2021 ◽  
Vol 13 (15) ◽  
pp. 2895
Author(s):  
Maria Gavrouzou ◽  
Nikolaos Hatzianastassiou ◽  
Antonis Gkikas ◽  
Christos J. Lolis ◽  
Nikolaos Mihalopoulos
Keyword(s):  
Mediterranean Basin ◽  
Eastern Mediterranean ◽  
Mean Value ◽  
Early Spring ◽  
Dust Aerosol ◽  
Ozone Monitoring Instrument ◽  
Central Mediterranean ◽  
Moderate Resolution ◽  
Resolution Imaging ◽  
Moderate Resolution Imaging Spectroradiometer

A satellite algorithm able to identify Dust Aerosols (DA) is applied for a climatological investigation of Dust Aerosol Episodes (DAEs) over the greater Mediterranean Basin (MB), one of the most climatologically sensitive regions of the globe. The algorithm first distinguishes DA among other aerosol types (such as Sea Salt and Biomass Burning) by applying threshold values on key aerosol optical properties describing their loading, size and absorptivity, namely Aerosol Optical Depth (AOD), Aerosol Index (AI) and Ångström Exponent (α). The algorithm operates on a daily and 1° × 1° geographical cell basis over the 15-year period 2005–2019. Daily gridded spectral AOD data are taken from Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua Collection 6.1, and are used to calculate the α data, which are then introduced into the algorithm, while AI data are obtained by the Ozone Monitoring Instrument (OMI) -Aura- Near-UV aerosol product OMAERUV dataset. The algorithm determines the occurrence of Dust Aerosol Episode Days (DAEDs), whenever high loads of DA (higher than their climatological mean value plus two/four standard deviations for strong/extreme DAEDs) exist over extended areas (more than 30 pixels or 300,000 km2). The identified DAEDs are finally grouped into Dust Aerosol Episode Cases (DAECs), consisting of at least one DAED. According to the algorithm results, 166 (116 strong and 50 extreme) DAEDs occurred over the MB during the study period. DAEDs are observed mostly in spring (47%) and summer (38%), with strong DAEDs occurring primarily in spring and summer and extreme ones in spring. Decreasing, but not statistically significant, trends of the frequency, spatial extent and intensity of DAECs are revealed. Moreover, a total number of 98 DAECs was found, primarily in spring (46 DAECs) and secondarily in summer (36 DAECs). The seasonal distribution of the frequency of DAECs varies geographically, being highest in early spring over the eastern Mediterranean, in late spring over the central Mediterranean and in summer over the western MB.

scholarly journals 250-m Aerosol Retrieval from FY-3 Satellite in Guangzhou

2021 ◽  
Vol 13 (5) ◽  
pp. 920
Author(s):  
Zhongting Wang ◽  
Ruru Deng ◽  
Pengfei Ma ◽  
Yuhuan Zhang ◽  
Yeheng Liang ◽  
...  
Keyword(s):  
Mixing Model ◽  
Blue Band ◽  
Aerosol Retrieval ◽  
Aerosol Distribution ◽  
Medium Resolution ◽  
Fine Spatial Resolution ◽  
Yearly Average ◽  
Moderate Resolution ◽  
Resolution Imaging ◽  
Moderate Resolution Imaging Spectroradiometer

Aerosol distribution with fine spatial resolution is crucial for atmospheric environmental management. This paper proposes an improved algorithm of aerosol retrieval from 250-m Medium Resolution Spectral Image (MERSI) data of Chinese FY-3 satellites. A mixing model of soil and vegetation was used to calculate the parameters of the algorithm from moderate-resolution imaging spectroradiometer (MODIS) reflectance products in 500-m resolution. The mixing model was used to determine surface reflectance in blue band, and the 250-m aerosol optical depth (AOD) was retrieved through removing surface contributions from MERSI data over Guangzhou. The algorithm was used to monitor two pollution episodes in Guangzhou in 2015, and the results displayed an AOD spatial distribution with 250-m resolution. Compared with the yearly average of MODIS aerosol products in 2015, the 250-m resolution AOD derived from the MERSI data exhibited great potential for identifying air pollution sources. Daily AODs derived from MERSI data were compared with ground results from CE318 measurements. The results revealed a correlation coefficient between the AODs from MERSI and those from the ground measurements of approximately 0.85, and approximately 68% results were within expected error range of ±(0.05 + 15%τ).

scholarly journals New generation geostationary satellite observations support seasonality in greenness of the Amazon evergreen forests

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Hirofumi Hashimoto ◽  
Weile Wang ◽  
Jennifer L. Dungan ◽  
Shuang Li ◽  
Andrew R. Michaelis ◽  
...  
Keyword(s):  
Cloud Cover ◽  
Seasonal Patterns ◽  
Optical Remote Sensing ◽  
Amazon Forest ◽  
Evergreen Forests ◽  
Geostationary Satellites ◽  
Moderate Resolution ◽  
Resolution Imaging ◽  
Moderate Resolution Imaging Spectroradiometer ◽  
New Generation

AbstractAssessing the seasonal patterns of the Amazon rainforests has been difficult because of the paucity of ground observations and persistent cloud cover over these forests obscuring optical remote sensing observations. Here, we use data from a new generation of geostationary satellites that carry the Advanced Baseline Imager (ABI) to study the Amazon canopy. ABI is similar to the widely used polar orbiting sensor, the Moderate Resolution Imaging Spectroradiometer (MODIS), but provides observations every 10–15 min. Our analysis of NDVI data collected over the Amazon during 2018–19 shows that ABI provides 21–35 times more cloud-free observations in a month than MODIS. The analyses show statistically significant changes in seasonality over 85% of Amazon forest pixels, an area about three times greater than previously reported using MODIS data. Though additional work is needed in converting the observed changes in seasonality into meaningful changes in canopy dynamics, our results highlight the potential of the new generation geostationary satellites to help us better understand tropical ecosystems, which has been a challenge with only polar orbiting satellites.

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