508 research outputs found
Satellite remote sensing of surface winds, waves, and currents: Where are we now?
This review paper reports on the state-of-the-art concerning observations of surface winds, waves, and currents from space and their use for scientific research and subsequent applications. The development of observations of sea state parameters from space dates back to the 1970s, with a significant increase in the number and diversity of space missions since the 1990s. Sensors used to monitor the sea-state parameters from space are mainly based on microwave techniques. They are either specifically designed to monitor surface parameters or are used for their abilities to provide opportunistic measurements complementary to their primary purpose. The principles on which is based on the estimation of the sea surface parameters are first described, including the performance and limitations of each method. Numerous examples and references on the use of these observations for scientific and operational applications are then given. The richness and diversity of these applications are linked to the importance of knowledge of the sea state in many fields. Firstly, surface wind, waves, and currents are significant factors influencing exchanges at the air/sea interface, impacting oceanic and atmospheric boundary layers, contributing to sea level rise at the coasts, and interacting with the sea-ice formation or destruction in the polar zones. Secondly, ocean surface currents combined with wind- and wave- induced drift contribute to the transport of heat, salt, and pollutants. Waves and surface currents also impact sediment transport and erosion in coastal areas. For operational applications, observations of surface parameters are necessary on the one hand to constrain the numerical solutions of predictive models (numerical wave, oceanic, or atmospheric models), and on the other hand to validate their results. In turn, these predictive models are used to guarantee safe, efficient, and successful offshore operations, including the commercial shipping and energy sector, as well as tourism and coastal activities. Long-time series of global sea-state observations are also becoming increasingly important to analyze the impact of climate change on our environment. All these aspects are recalled in the article, relating to both historical and contemporary activities in these fields
Towards long-term records of rain-on-snow events across the Arctic from satellite data
Rain-on-snow (ROS) events occur across many regions of the terrestrial Arctic in mid-winter. Snowpack properties are changing, and in extreme cases ice layers form
which affect wildlife, vegetation and soils beyond the duration of the event. Specifically, satellite microwave observations have been shown to provide insight into known events.
Only Ku-band radar (scatterometer) has been applied so far
across the entire Arctic. Data availability at this frequency is
limited, however. The utility of other frequencies from passive and active systems needs to be explored to develop a
concept for long-term monitoring. The latter are of specific
interest as they can be potentially provided at higher spatial
resolution. Radar records have been shown to capture the associated snow structure change based on time-series analyses. This approach is also applicable when data gaps exist
and has capabilities to evaluate the impact severity of events.
Active as well as passive microwave sensors can also detect
wet snow at the timing of an ROS event if an acquisition
is available. The wet snow retrieval methodology is, however, rather mature compared to the identification of snow
structure change since ambiguous scattering behaviour needs
consideration. C-band radar is of special interest due to good
data availability including a range of nominal spatial resolutions (10 m–12.5 km). Scatterometer and SAR (synthetic
aperture radar) data have therefore been investigated. The
temperature dependence of C-band backscatter at VV (V –
vertical) polarization observable down to −40 ◦C is identified as a major issue for ROS retrieval but can be addressed
by a combination with a passive microwave wet snow indicator (demonstrated for Metop ASCAT – Advanced Scatterometer – and SMOS – Soil Moisture and Ocean Salinity). Results were compared to in situ observations (snowpit records,
caribou migration data) and Ku-band products. Ice crusts
were found in the snowpack after detected events (overall accuracy 82 %). The more crusts (events) there are, the
higher the winter season backscatter increase at C-band will
be. ROS events captured on the Yamal and Seward peninsulas have had severe impacts on reindeer and caribou, respectively, due to ice crust formation. SAR specifically from
Sentinel-1 is promising regarding ice layer identification at
better spatial details for all available polarizations. The fusion of multiple types of microwave satellite observations
is suggested for the creation of a climate data record, but
the consideration of performance differences due to spatial
and temporal cover, as well as microwave frequency, is crucial. Retrieval is most robust in the tundra biome, where results are comparable between sensors. Records can be used
to identify extremes and to apply the results for impact studies at regional scale
Improving satellite-based monitoring of the Arctic polar regions: identification of research and capacity gaps
We present a comprehensive review of the current status of remotely sensed and in situ sea ice,
ocean, and land parameters acquired over the Arctic and Antarctic and identify current data gaps
through comparison with the portfolio of products provided by Copernicus services. While we
include several land parameters, the focus of our review is on the marine sector. The analysis is
facilitated by the outputs of the KEPLER H2020 project. This project developed a road map for
Copernicus to deliver an improved European capacity for monitoring and forecasting of the Polar
Regions, including recommendations and lessons learnt, and the role citizen science can play in
supporting Copernicus’ capabilities and giving users ownership in the system. In addition to
summarising this information we also provide an assessment of future satellite missions (in particular
the Copernicus Sentinel Expansion Missions), in terms of the potential enhancements they can
provide for environmental monitoring and integration/assimilation into modelling/forecast products.
We identify possible synergies between parameters obtained from different satellite missions to
increase the information content and the robustness of specific data products considering the
end-users requirements, in particular maritime safety. We analyse the potential of new variables and
new techniques relevant for assimilation into simulations and forecasts of environmental conditions
and changes in the Polar Regions at various spatial and temporal scales. This work concludes with
several specific recommendations to the EU for improving the satellite-based monitoring of the Polar
Regions
Improving satellite-based monitoring of the polar regions: Identification of research and capacity gaps
We present a comprehensive review of the current status of remotely sensed and in situ sea ice, ocean, and land parameters acquired over the Arctic and Antarctic and identify current data gaps through comparison with the portfolio of products provided by Copernicus services. While we include several land parameters, the focus of our review is on the marine sector. The analysis is facilitated by the outputs of the KEPLER H2020 project. This project developed a road map for Copernicus to deliver an improved European capacity for monitoring and forecasting of the Polar Regions, including recommendations and lessons learnt, and the role citizen science can play in supporting Copernicus’ capabilities and giving users ownership in the system. In addition to summarising this information we also provide an assessment of future satellite missions (in particular the Copernicus Sentinel Expansion Missions), in terms of the potential enhancements they can provide for environmental monitoring and integration/assimilation into modelling/forecast products. We identify possible synergies between parameters obtained from different satellite missions to increase the information content and the robustness of specific data products considering the end-users requirements, in particular maritime safety. We analyse the potential of new variables and new techniques relevant for assimilation into simulations and forecasts of environmental conditions and changes in the Polar Regions at various spatial and temporal scales. This work concludes with several specific recommendations to the EU for improving the satellite-based monitoring of the Polar Regions
A long-term record of sea ice thickness in the Canadian Arctic
Sea ice plays a vital role in the Arctic region and affects numerous processes: it influences the radiative budget by reflecting sunlight and acts as a barrier for heat transport between atmosphere and ocean; it influences Arctic ecosystems as a habitat for different species; it is important for hunting and travel for local communities; and it acts as a hazard for marine shipping. Monitoring sea ice, specifically its thickness, is essential in understanding how it is changing with ongoing global warming.This thesis presents a novel method to create a long-term record (1996-2020) for sea ice thickness in the Canadian Arctic and assesses how sea ice thickness changed and what the impacts of these changes are.This thesis initially aimed to extract a long-term sea ice thickness record for the Canadian Arctic from satellite altimetry. However, it revealed that assumptions regarding the snowpack, sea ice density, and processing algorithms highly influence conclusions on sea ice thickness state and trends, and this approach was rejected. Instead, this thesis presents a proxy sea ice thickness product for the Canadian Arctic using ice charts, which for the first time consistently covers the Canadian Arctic Archipelago. In the final research chapter, this sea ice thickness proxy product and ice charts are used to assess sea ice changes in the Canadian Arctic Archipelago and their impact on accessibility.Sea ice has thinned across most of the Canadian Arctic region, with a mean change over the full area of 38.5 cm for November and 20.5 cm for April over the period 1996-2020. Moreover, the marine navigability is shown to increase in the access channels to the Canadian Arctic Archipelago, which enhances the possibilities for resupply for local communities. However, with continuing dynamic influx of old and thick sea ice, there is no change in full navigability of the Northwest Passage connecting the Atlantic and Pacific Oceans
Land Surface Monitoring Based on Satellite Imagery
This book focuses attention on significant novel approaches developed to monitor land surface by exploiting satellite data in the infrared and visible ranges. Unlike in situ measurements, satellite data provide global coverage and higher temporal resolution, with very accurate retrievals of land parameters. This is fundamental in the study of climate change and global warming. The authors offer an overview of different methodologies to retrieve land surface parameters— evapotranspiration, emissivity contrast and water deficit indices, land subsidence, leaf area index, vegetation height, and crop coefficient—all of which play a significant role in the study of land cover, land use, monitoring of vegetation and soil water stress, as well as early warning and detection of forest fires and drought
Remote sensing of surface melt on Antarctica: opportunities and challenges
Surface melt is an important driver of ice shelf disintegration and its consequent mass loss over the Antarctic Ice Sheet. Monitoring surface melt using satellite remote sensing can enhance our understanding of ice shelf stability. However, the sensors do not measure the actual physical process of surface melt, but rather observe the presence of liquid water. Moreover, the sensor observations are influenced by the sensor characteristics and surface properties. Therefore, large inconsistencies can exist in the derived melt estimates from different sensors. In this study, we apply state-of-the-art melt detection algorithms to four frequently used remote sensing sensors, i.e., two active microwave sensors, which are Advanced Scatterometer (ASCAT) and Sentinel-1, a passive microwave sensor, i.e., Special Sensor Microwave Imager/Sounder (SSMIS), and an optical sensor, i.e., Moderate Resolution Imaging Spectroradiometer (MODIS). We intercompare the melt detection results over the entire Antarctic Ice Sheet and four selected study regions for the melt seasons 2015-2020. Our results show large spatiotemporal differences in detected melt between the sensors, with particular disagreement in blue ice areas, in aquifer regions, and during wintertime surface melt. We discuss that discrepancies between sensors are mainly due to cloud obstruction and polar darkness, frequency-dependent penetration of satellite signals, temporal resolution, and spatial resolution, as well as the applied melt detection methods. Nevertheless, we argue that different sensors can complement each other, enabling improved detection of surface melt over the Antarctic Ice Sheet
Copernicus Cal/Val Solution - D3.1 Recommendations for R&D activities on Instrumentation Technologies
The Document identifies the gaps in instrumentation technologies for pre-flight characterisation, onboard calibration and Fiducial Reference Measurements (FRM) used for calibration and validation
(Cal/Val) activities for the current Copernicus missions. It also addresses the measurement needs for
future Copernicus missions and gives a prioritised list of recommendations for R&D activities on
instrumentation technologies.
Four types of missions are covered based on the division used in the rest of the CCVS project: optical,
altimetry, radar and microwave and atmospheric composition.
It also gives an overview of some promising instrumentation technologies in each measurement field
for FRM that could fill the gaps for requirements not yet met for the current and future Copernicus
missions and identifies the research and development (R&D) activities needed to mature these
example technologies. The Document does not provide an exhaustive list of all the new technologies
being developed but will give a few examples for each field to show what efforts are being made to fill
the gaps. None of the examples is promoted as the best possible solutions. The selection is based on
the authors' knowledge during the preparation of the Document.
The information included is mainly collected from the deliverables of work packages 1 and 2 in the
CCVS project. The new technologies are primarily from the interviews with various measurement
networks and campaigns carried out in tasks 2.4 and 2.5. Reference documents can be found in section
1.3
- …