Relevance of warm air intrusions for Arctic satellite sea ice concentration time series

Author(s):
Rostosky, P.; Spreen, G.
Publication title: Cryosphere
2023
 | Volume: 17 | Issue: 9
2023
DOI: 10.5194/tc-17-3867-2023
Abstract:
Winter warm air intrusions entering the Arctic region can strongly modify the microwave emission of the snow-covered sea ice system due to temperature… Winter warm air intrusions entering the Arctic region can strongly modify the microwave emission of the snow-covered sea ice system due to temperature-induced snow metamorphism and ice crust formations, e.g., after melt-refreeze events. Common microwave radiometer satellite sea ice concentration retrievals are based on empirical models using the snow-covered sea ice emissivity and thus can be influenced by strong warm air intrusions. Here, we carry out a long-Term study analyzing 41 years of winter sea ice concentration observations from different algorithms to investigate the impact of warm air intrusions on the retrieved ice concentration. Our results show that three out of four algorithms underestimate the sea ice concentration during (and up to 10 d after) warm air intrusions which increase the 2 m air temperature (daily maximum) above-5 C. This can lead to sea ice area underestimations in the order of 104 to 105 km2. If the 2 m temperature during the warm air intrusions crosses-2 C, all algorithms are impacted. Our analysis shows that the strength of these strong warm air intrusions increased in recent years, especially in April. With a further climate change, such warm air intrusions are expected to occur more frequently and earlier in the season, and their influence on sea ice climate data records will become more important. © 2023 Copernicus GmbH. All rights reserved. more
Application Climate Data Records Cryosphere OSI-SAF Ocean

Remote sensing of solar surface radiation-a reflection of concepts, applications and input data based on experience with the effective cloud albedo

Author(s):
Müller, R.; Pfeifroth, U.
Publication title: Atmospheric Measurement Techniques
2022
 | Volume: 15 | Issue: 5
2022
DOI: 10.5194/amt-15-1537-2022
Abstract:
Accurate solar surface irradiance (SSI) data are a prerequisite for efficient planning and operation of solar energy systems. Respective data are also… Accurate solar surface irradiance (SSI) data are a prerequisite for efficient planning and operation of solar energy systems. Respective data are also essential for climate monitoring and analysis. Satellite-based SSI has grown in importance over the last few decades. However, a retrieval method is needed to relate the measured radiances at the satellite to the solar surface irradiance. In a widespread classical approach, these radiances are used directly to derive the effective cloud albedo (CAL) as basis for the estimation of the solar surface irradiance. This approach was already introduced and discussed in the early 1980s. Various approaches are briefly discussed and analysed, including an overview of open questions and opportunities for improvement. Special emphasis is placed on the reflection of fundamental physical laws and atmospheric measurement techniques. In addition, atmospheric input data and key applications are briefly discussed. It is concluded that the well-established observation-based CAL approach is still an excellent choice for the retrieval of the cloud transmission. The coupling with lookup-table-based clear-sky models enables the estimation of solar surface irradiance with high accuracy and homogeneity. This could explain why, despite its age, the direct CAL approach is still used by key players in energy meteorology and the climate community. For the clear-sky input data, it is recommended to use ECMWF forecast and reanalysis data. © 2022 Richard Müller. more
Atmosphere CM-SAF Climate Data Records Validation

Resilience of Cultural Heritage in Extreme Weather Conditions: The Case of the UNESCO Villa Romana del Casale Archaeological Site’s Response to the Apollo Medicane in October 2021

Author(s):
Gervasi, Osvaldo; Murgante, Beniamino; Misra, Sanjay; Rocha, Ana Maria A. C.; Garau, Chiara; Prestileo, Fernanda; Mascitelli, Alessandra; Meli, Guido; Petracca, Marco; Giorgi, Claudio; Melfi, Davide; Puca, Silvia; Dietrich, Stefano
2022
 | Volume: 13380
2022
DOI: 10.1007/978-3-031-10542-5_35
Application Climate Data Records H-SAF Land

Remote Sensing Time Series Analysis: A Review of Data and Applications

Author(s):
Fu, Y.; Zhu, Z.; Liu, L.; Zhan, W.; He, T.; Shen, H.; Zhao, J.; Liu, Y.; Zhang, H.; Liu, Z.; Xue, Y.; Ao, Z.
Publication title: Journal of Remote Sensing (United States)
2024
 | Volume: 4
2024
DOI: 10.34133/remotesensing.0285
Abstract:
Remote sensing time series research and applications are advancing rapidly in land, ocean, and atmosphere science, demonstrating emerging capabilities… Remote sensing time series research and applications are advancing rapidly in land, ocean, and atmosphere science, demonstrating emerging capabilities in space-based monitoring methodologies and diverse application prospects. This prompts a comprehensive review of remote sensing time series observations, time series data reconstruction, derived products, and the current progress, challenges, and future directions in their applications. The high-frequency new data, i.e., a constellation strategy, increasing computing power and advancing deep learning algorithms, are driving a paradigm shift from traditional point-in-time mapping to near-real-time monitoring tasks, and even to modeling integration of parameter inversion and prediction in land, water, and air science. Correspondingly, the 3 main projects, namely, the Global Climate Observing System, the United States Geological Survey/National Aeronautics and Space Administration (USGS/NASA) Landsat Science team, and the China Global Land Surface Satellite (GLASS) team, along with other time series-derived products, have found widespread applications in the research of Earth’s radiation balance and human–land systems. They have also been utilized for tasks such as land use change detection, assessing coastal effects, ocean environment monitoring, and supporting carbon neutrality strategies. Moreover, the 3 critical challenges and future directions were highlighted including multimode time series data fusion, deep learning modeling for task-specific domain adaptation, and fine-scale remote sensing applications by using dense time series. This review distills historical and current developments spanning the last several decades, providing an insightful understanding into the advancements in remote sensing time series data and applications. Copyright © 2024 Yingchun Fu et al. more
Application Atmosphere CM-SAF Climate Data Records LSA-SAF

Resolving the 21st century temperature trends of the upper troposphere–lower stratosphere with satellite observations

Author(s):
Ladstädter, Florian; Steiner, Andrea K.; Gleisner, Hans
Publication title: Scientific Reports
2023
 | Volume: 13 | Issue: 1
2023
DOI: 10.1038/s41598-023-28222-x
Abstract:
Historically, observational information about atmospheric temperature has been limited due to a lack of suitable measurements. Recent advances in sate… Historically, observational information about atmospheric temperature has been limited due to a lack of suitable measurements. Recent advances in satellite observations provide new insight into the fine structure of the free atmosphere, with the upper troposphere and lower stratosphere comprising essential components of the climate system. This is a prerequisite for understanding the complex processes of this part of the atmosphere, which is also known to have a large impact on surface climate. With unprecedented resolution, latest climate observations reveal a dramatic warming of the atmosphere. The tropical upper troposphere has already warmed about 1 K during the first two decades of the 21st century. The tropospheric warming extends into the lower stratosphere in the tropics and southern hemisphere mid-latitudes, forming a prominent hemispheric asymmetry in the temperature trend structure. Together with seasonal trend patterns in the stratosphere, this indicates a possible change in stratospheric circulation. © 2023, The Author(s). more
Application Atmosphere Climate Data Records ROM-SAF

Retrieval error estimation of surface albedo derived from geostationary large band satellite observations: Application to Meteosat-2 and Meteosat-7 data

Author(s):
Govaerts, Y. M.; Lattanzio, A.
Publication title: Journal of Geophysical Research
2007
 | Volume: 112 | Issue: D5
2007
DOI: 10.1029/2006JD007313
Abstract:
The extraction of critical geophysical variables from multidecade archived satellite observations, such as those acquired by the European Meteosat Fir… The extraction of critical geophysical variables from multidecade archived satellite observations, such as those acquired by the European Meteosat First Generation satellite series, for the generation of climate data records is recognized as a pressing challenge by international environmental organizations. This paper presents a statistical method for the estimation of the surface albedo retrieval error that explicitly accounts for the measurement uncertainties and differences in the Meteosat radiometer characteristics. The benefit of this approach is illustrated with a simple case study consisting of a meaningful comparison of surface albedo derived from observations acquired at a 20 year interval by sensors with different radiometric performances. In particular, it is shown how it is possible to assess the magnitude of minimum detectable significant surface albedo change. more
Climate Data Records EUM-Secr Land Method

River runoff estimation with satellite rainfall in Morocco

Author(s):
Tramblay, Yves; El Khalki, El Mahdi; Ciabatta, Luca; Camici, Stefania; Hanich, Lahoucine; Saidi, Mohamed El Mehdi; Ezzahouani, Abdellatif; Benaabidate, Lahcen; Mahé, Gil; Brocca, Luca
Publication title: Hydrological Sciences Journal
2023
 | Volume: 68 | Issue: 3
2023
DOI: 10.1080/02626667.2023.2171295
Abstract:
In African countries, the lack of observed rainfall data is a major obstacle for efficient water resources management. The objective of this study is … In African countries, the lack of observed rainfall data is a major obstacle for efficient water resources management. The objective of this study is to evaluate satellite rainfall products’ ability to estimate river runoff over 12 basins in Morocco using four hydrological models: IHACRES, MISDc, GR4J, and CREST. Satellite products available with a short latency are compared: EUMETSAT H SAF, SM2RAIN-ASCAT, and IMERG. The best results to reproduce river runoff were obtained with SM2RAIN-ASCAT in combination with the IHACRES model, with the highest Kling-Gupta efficiency criterion and probability of detection of extreme runoff. The hydrological model performances differed across catchments and satellite rainfall products, which highlights the need to carefully select hydrological models for a given application. Thus, it is advisable to evaluate satellite rainfall products with different types of hydrological models. This first evaluation over Moroccan basins suggests that SM2RAIN-ASCAT could be a reliable alternative to observed rainfall for hydrological modelling. more
Atmosphere Climate Data Records H-SAF Validation

Response of the sea surface temperature to heatwaves during the France 2022 meteorological summer

Author(s):
Guinaldo, T.; Voldoire, A.; Waldman, R.; Saux Picart, S.; Roquet, H.
Publication title: Ocean Science
2023
 | Volume: 19 | Issue: 3
2023
DOI: 10.5194/os-19-629-2023
Abstract:
The summer of 2022 was memorable and record-breaking, ranking as the second hottest summer in France since 1900, with a seasonal surface air temperatu… The summer of 2022 was memorable and record-breaking, ranking as the second hottest summer in France since 1900, with a seasonal surface air temperature average of 22.7C. In particular, France experienced multiple record-breaking heatwaves during the meteorological summer. As the main heat reservoir of the Earth system, the oceans are at the forefront of events of this magnitude which enhance oceanic disturbances such as marine heatwaves (MHWs). In this study, we investigate the sea surface temperature (SST) of French maritime basins using remotely sensed measurements to track the response of surface waters to the atmospheric heatwaves and determine the intensity of such feedback. Beyond the direct relationship between SSTs and surface air temperatures, we explore the leading atmospheric parameters affecting the upper-layer ocean heat budget. Despite some gaps in data availability, the SSTs measured during the meteorological summer of 2022 were record-breaking, the mean SST was between 1.3 and 2.6 C above the long-term average (1982-2011), and the studied areas experienced between 4 and 22d where the basin-averaged SSTs exceeded the maximum recorded basin-averaged SSTs from 1982 to 2011. We found a significant SST response during heatwave periods with maximum temperatures measured locally at 30.8 C in the north-western Mediterranean Sea. Our results show that in August 2022 (31 July to 13 August), France experienced above-average surface solar radiation correlated with below-average total cloud cover and negative wind speed anomalies. Our attribution analysis based on a simplified mixed-layer heat budget highlights the critical role of ocean-atmosphere fluxes in initiating abnormally warm SSTs, while ocean mixing plays a crucial role in the cessation of such periods. We find that the 2m temperatures and specific humidity that are consistently linked to the advection of warm and moist air masses are key variables across all the studied regions. Our results reveal that the influence of wind on heatwaves is variable and of secondary importance. Moreover, we observe that the incident solar radiation has a significant effect only on the Bay of Biscay (BB) and the English Channel (EC) areas. Our study findings are consistent with previous research and demonstrate the vulnerability of the Mediterranean Sea to the increasing frequency of extreme weather events resulting from climate change. Furthermore, our investigation reveals that the recurring heatwave episodes during the summer of 2022 had an undeniable impact on all the surveyed maritime areas in France. Our study therefore provides valuable insights into the complex mechanisms underlying the ocean-atmosphere interaction and demonstrates the need for an efficient and sustainable operational system combining polar-orbiting and geostationary satellites to monitor the alterations that threaten the oceans in the context of climate change. © 2023 Thibault Guinaldo et al. more
Application Climate Data Records OSI-SAF Ocean

SARAH-3 - satellite-based climate data records of surface solar radiation

Author(s):
Pfeifroth, U.; Drücke, J.; Kothe, S.; Trentmann, J.; Schröder, M.; Hollmann, R.
Publication title: Earth System Science Data
2024
 | Volume: 16 | Issue: 11
2024
DOI: 10.5194/essd-16-5243-2024
Abstract:
The amount of energy reaching Earth's surface from the Sun is a quantity of high importance for the climate system and for renewable energy applicatio… The amount of energy reaching Earth's surface from the Sun is a quantity of high importance for the climate system and for renewable energy applications. SARAH-3 (SurfAce Radiation DAtaset Heliosat, https://doi.org/10.5676/EUM_SAF_CM/SARAH/V003, Pfeifroth et al., 2023) is a new version of a satellitebased climate data record of surface solar radiation parameters, generated and distributed by the European Organisation of Meteorological Satellites (EUMETSAT) Climate Monitoring Satellite Application Facility (CM SAF). SARAH-3 provides data from 1983 onwards, i.e. more than 4 decades of data, and has a spatial resolution of 0.05°_0.05°, a temporal resolution of 30 min and daily and monthly means for the region covered by the Meteosat field of view (65°W to 65° E and 65° S to 65° N). SARAH-3 consists of seven parameters: surface irradiance, direct irradiance, direct normal irradiance, sunshine duration, daylight, photosynthetically active radiation and effective cloud albedo. SARAH-3 data between 1983 and 2020 have been generated with stable input data (i.e. satellite and auxiliary data) to ensure a high temporal stability; these data are temporally extended by operational near-real-time processing - the so-called Interim Climate Data Record. The data record is suitable for various applications, from climate monitoring to renewable energy. The validation of SARAH-3 shows good accuracy (deviations of _5Wm-2 from surface reference measurements for monthly surface irradiance), stability of the data record and further improvements over its predecessor SARAH-2.1. One reason for this improved quality is the new treatment of snow-covered surfaces in the algorithm, reducing the misclassification of snow as clouds. The SARAH-3 data record reveals an increase in the surface irradiance (_+3Wm-2 per decade) during recent decades in Europe, in line with surface observations.. © Author(s) 2024. more
Application Atmosphere CM-SAF Climate Data Records Validation
Subscribe to