scholarly journals Synergy of Active- and Passive Remote Sensing: An Approach to Reconstruct Three-Dimensional Cloud Macro- and Microphysics

2020 ◽  
Author(s):  
Lucas Höppler ◽  
Felix Gödde ◽  
Manuel Gutleben ◽  
Tobias Kölling ◽  
Bernhard Mayer ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Microwave Radiometer ◽  
Three Dimensional ◽  
Passive Remote Sensing ◽  
Three Dimensional Representation ◽  
Hyper Spectral ◽  
Lidar Measurements ◽  
Research Aircraft ◽  
Remote Sensing Methods ◽  
Thermodynamic Phase

Abstract. This paper presents a method to retrieve three-dimensional cumulus cloud macro- and microphysics measured by remote sensing instruments on the German research aircraft HALO. This is achieved by combining our hyper-spectral pushbroom spectrometer specMACS with active and passive remote sensing instruments, such as a lidar, a microwave radiometer, a radar and dropsondes. Two-dimensional cloud information such as cloud size, optical thickness, effective radius and thermodynamic phase are retrieved by specMACS with established remote sensing methods. Information of the other active and passive remote sensing instruments with a smaller field-of-view are mapped to the wider specMACS swath following Barker et al. (2011). The combination of specMACS with passive and active remote sensing quantities, for example, the Cloud Top Height from lidar measurements, allows new possibilities: three-dimensional cloud macrophysics can be reconstructed. Applying a sub-adiabatic microphysical model constrained with measurements allows to extend the measured quantities to a three-dimensional representation of microphysics. A consistency check by means of a three-dimensional radiative transfer simulation of the specMACS observations of these derived three-dimensional cloud fields shows good agreement.

Machine learning analyses of remote sensing measurements establish strong relationships between vegetation and snow depth in the boreal forest of Interior Alaska

2021 ◽  
Author(s):  
Thomas Douglas ◽  
Caiyun Zhang
Keyword(s):  
Machine Learning ◽  
Remote Sensing ◽  
Snow Depth ◽  
Spatial Scales ◽  
Critical Role ◽  
Winter Season ◽  
Thermal Conditions ◽  
Near Surface ◽  
Lidar Measurements ◽  
Remote Sensing Methods

The seasonal snowpack plays a critical role in Arctic and boreal hydrologic and ecologic processes. Though snow depth can be different from one season to another there are repeated relationships between ecotype and snowpack depth. Alterations to the seasonal snowpack, which plays a critical role in regulating wintertime soil thermal conditions, have major ramifications for near-surface permafrost. Therefore, relationships between vegetation and snowpack depth are critical for identifying how present and projected future changes in winter season processes or land cover will affect permafrost. Vegetation and snow cover areal extent can be assessed rapidly over large spatial scales with remote sensing methods, however, measuring snow depth remotely has proven difficult. This makes snow depth–vegetation relationships a potential means of assessing snowpack characteristics. In this study, we combined airborne hyperspectral and LiDAR data with machine learning methods to characterize relationships between ecotype and the end of winter snowpack depth. Our results show hyperspectral measurements account for two thirds or more of the variance in the relationship between ecotype and snow depth. An ensemble analysis of model outputs using hyperspectral and LiDAR measurements yields the strongest relationships between ecotype and snow depth. Our results can be applied across the boreal biome to model the coupling effects between vegetation and snowpack depth.

scholarly journals Remote Sensing

2017 ◽  
Vol 58 ◽  
pp. 10.1-10.21 ◽  
Author(s):  
J. Bühl ◽  
S. Alexander ◽  
S. Crewell ◽  
A. Heymsfield ◽  
H. Kalesse ◽  
...  
Keyword(s):  
Remote Sensing ◽  
In Situ Measurements ◽  
Ice Formation ◽  
Literature Study ◽  
Passive Remote Sensing ◽  
Level Information ◽  
Formation And Evolution ◽  
Remote Sensing Techniques ◽  
Remote Sensing Methods

Abstract State-of-the-art remote sensing techniques applicable to the investigation of ice formation and evolution are described. Ground-based and spaceborne measurements with lidar, radar, and radiometric techniques are discussed together with a global view on past and ongoing remote sensing measurement campaigns concerned with the study of ice formation and evolution. This chapter has the intention of a literature study and should illustrate the major efforts that are currently taken in the field of remote sensing of atmospheric ice. Since other chapters of this monograph mainly focus on aircraft in situ measurements, special emphasis is put on active remote sensing instruments and synergies between aircraft in situ measurements and passive remote sensing methods. The chapter concentrates on homogeneous and heterogeneous ice formation in the troposphere because this is a major topic of this monograph. Furthermore, methods that deliver direct, process-level information about ice formation are elaborated with a special emphasis on active remote sensing methods. Passive remote sensing methods are also dealt with but only in the context of synergy with aircraft in situ measurements.

scholarly journals Characterization and longitudinal study of aerosol particles using a synergy of lidar techniques and passive remote sensing methods in the Mediterranean basin

2020 ◽  
Author(s):  
Ουρανία Σουπιωνά
Keyword(s):  
Remote Sensing ◽  
Longitudinal Study ◽  
Mediterranean Basin ◽  
Aerosol Particles ◽  
Light Detection And Ranging ◽  
Light Detection ◽  
Passive Remote Sensing ◽  
The Mediterranean ◽  
Remote Sensing Methods ◽  
The Mediterranean Basin

H παρούσα Διδακτορική Διατριβή έχει ως αντικείμενο τη μελέτη των τροποσφαιρικών αερολυμάτων με τη χρήση επίγειων και δορυφορικών τεχνικών, για την ανάκτηση των οπτικών ιδιοτήτων των αιωρούμενων σωματιδίων και την στατιστική ανάλυσή τους. Παράλληλα, εφαρμόζονται μαθηματικοί αλγόριθμοι για την ανάκτηση των μικροφυσικών τους ιδιοτήτων, καθώς και γίνεται χρήση προγνωστικών μοντέλων για ανάκτηση επιπλέον πληροφοριών, όπως ο προσδιορισμός της πηγής προέλευσης των αιωρούμενων σωματιδίων, αλλά και η επίδρασή τους στο ατμοσφαιρικό ενεργειακό ισοζύγιο. Στο πρώτο κεφάλαιο (Κεφάλαιο 1) περιλαμβάνεται το θεωρητικό υπόβαθρο των ατμοσφαιρικών αερολυμάτων, ο ρόλος τους στην ατμοσφαιρική Φυσική, καθώς και οι διάφοροι τύποι αερολυμάτων, δίνοντας τη συνολική εικόνα του πεδίου μελέτης. Στο Κεφάλαιο 2 αναφέρονται οι θεμελιώδεις πτυχές της ατμοσφαιρικής Φυσικής και της Οπτικής, με έμφαση στους μηχανισμούς αλληλεπίδρασης του φωτός με τα ατμοσφαιρικά στοιχεία (αερολύματα και μόρια). Οι τεχνικές τηλεπισκόπησης αερολυμάτων που έχουν χρησιμοποιηθεί ευρέως σε αυτή τη διατριβή παρουσιάζονται στο Κεφάλαιο 3, μαζί με λοιπά διαθέσιμα όργανα που χρησιμοποιήθηκαν για τη λήψη δεδομένων των προς εξαγωγή αποτελεσμάτων. Συγκεκριμένα παρουσιάζεται η τεχνική light detection and ranging (lidar), καθώς και τα διάφορα στάδια επεξεργασίας των σημάτων lidar. Τα ατμοσφαιρικά προγνωστικά μοντέλα αλλά και εργαλεία που αξιοποιούν δορυφορικές μετρήσεις και χρησιμοποιήθηκαν για την ενίσχυση των αποτελεσμάτων μας παρουσιάζονται εν συντομία στο Κεφάλαιο 4. Η περιεκτική ανάλυση των αποτελεσμάτων παρουσιάζεται στο Κεφάλαιο 5, ενώ τα συμπεράσματα παρατίθενται στο Κεφάλαιο 6, που αποτελεί το τελευταίο κεφάλαιο αυτής της Διατριβής.

scholarly journals Water vapor and aerosol lidar measurements within an atmospheric instrumental super site to study the aerosols and the tropospheric trace gases in rome

2018 ◽  
Vol 176 ◽  
pp. 05050
Author(s):  
D. Dionisi ◽  
A.M. Iannarelli ◽  
A. Scoccione ◽  
G.L. Liberti ◽  
M. Cacciani ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Water Vapor ◽  
Trace Gases ◽  
Atmospheric Parameters ◽  
Passive Remote Sensing ◽  
Wide Range ◽  
Lidar Measurements ◽  
Set Up

A joint instrumental Super Site, combining observation in urban (“Sapienza” University) and semi-rural (ESA-ESRIN and CNR-ISAC) environment, for atmospheric studies and satellites Cal/Val activities, has been set-up in the Rome area (Italy). Ground based active and passive remote sensing instruments located in both sites are operating in synergy, offering information for a wide range of atmospheric parameters. In this work, a comparison of aerosol and water vapor measurements derived by the Rayleigh-Mie-Raman (RMR) lidars, operating simultaneously in both experimental sites, is presented.

scholarly journals Ground-based remote sensing of an elevated forest fire aerosol layer at Whistler, BC: implications for interpretation of mountaintop chemistry

2010 ◽  
Vol 10 (23) ◽  
pp. 11921-11930 ◽  
Author(s):  
I. G. McKendry ◽  
J. Gallagher ◽  
P. Campuzano Jost ◽  
A. Bertram ◽  
K. Strawbridge ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Forest Fire ◽  
Forest Fires ◽  
Three Dimensional ◽  
Aerosol Layer ◽  
Fire Plume ◽  
Fire Plumes ◽  
Physico Chemical ◽  
Air Chemistry ◽  
Remote Sensing Methods

Abstract. On 30 August 2009, intense forest fires in interior British Columbia (BC) coupled with winds from the east and northeast resulted in transport of a broad forest fire plume across southwestern BC. The physico-chemical and optical characteristics of the plume as observed from Saturna Island (AERONET), CORALNet-UBC and the Whistler Mountain air chemistry facility were consistent with forest fire plumes that have been observed elsewhere in continental North America. However, the importance of three-dimensional transport in relation to the interpretation of mountaintop chemistry observations is highlighted on the basis of deployment of both a CL31 ceilometer and a single particle mass spectrometer (SPMS) in a mountainous setting. The SPMS is used to identify the biomass plume based on levoglucosan and potassium markers. Data from the SPMS are also used to show that the biomass plume was correlated with nitrate, but not correlated with sulphate or sodium. This study not only provides baseline measurements of biomass burning plume physico-chemical characteristics in western Canada, but also highlights the importance of lidar remote sensing methods in the interpretation of mountaintop chemistry measurements.

scholarly journals The potential of the synergistic use of passive and active remote sensing measurements for the validation of a regional dust model

2009 ◽  
Vol 27 (8) ◽  
pp. 3155-3164 ◽  
Author(s):  
V. Amiridis ◽  
M. Kafatos ◽  
C. Perez ◽  
S. Kazadzis ◽  
E. Gerasopoulos ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Three Dimensional ◽  
Atmospheric Modeling ◽  
Saharan Dust ◽  
Free Troposphere ◽  
Raman Lidar ◽  
Dust Event ◽  
Lidar Measurements ◽  
Multi Wavelength ◽  
Regional Atmospheric Modeling

Abstract. A long-lasting Saharan dust event affected Europe on 18–23 May 2008. Dust was present in the free troposphere over Greece, in height ranges between the surface and approximately 4–5 km above sea level. The event was monitored by ground-based CIMEL sunphotometric and multi-wavelength combined backscatter/Raman lidar measurements over Athens, Greece. The dust event had the maximum of its intensity on 20 May. Three-dimensional dust spatial distribution over Greece on that day is presented through satellite synergy of passive and active remote sensing using MODIS and CALIPSO data, respectively. For the period under study, the ground-based measurements are used to characterize the dust event and evaluate the latest version of the BSC Dust Regional Atmospheric Modeling (BSC-DREAM) system. Comparisons of modeled and measured aerosol optical depths over Athens show that the Saharan dust outbreak is fairly well captured by BSC-DREAM simulations. Evaluation of BSC-DREAM using Raman lidar measurements on 20 May shows that the model consistently reproduces the dust vertical distribution over Athens.

Sign in / Sign up

Export Citation Format

Share Document