Oliver Sus

Oliver Sus
European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) · USC Climate

PhD

About

28
Publications
4,428
Reads
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639
Citations
Citations since 2016
14 Research Items
508 Citations
2016201720182019202020212022020406080
2016201720182019202020212022020406080
2016201720182019202020212022020406080
2016201720182019202020212022020406080
Additional affiliations
September 2007 - June 2011
The University of Edinburgh
Position
  • PhD Student

Publications

Publications (28)
Article
Full-text available
Worldwide, cropland ecosystems play a significant role in the global carbon (C) cycle. However, quantifying and understanding the cropland C cycle are complex, due to variable environmental drivers, varied management practices and often highly heterogeneous landscapes. Efforts to upscale processes using simulation models must resolve these challeng...
Article
Full-text available
Agroecosystem models are strongly dependent on information on land management patterns for regional applications. Land management practices play a major role in determining global yield variability, and add an anthropogenic signal to the observed seasonality of atmospheric CO<sub>2</sub> concentrations. However, there is still little knowledge on s...
Article
Croplands cover approximately 45% of Europe and play an important role in the overall carbon budget of the continent. However, the estimation of their carbon balance remains uncertain due to the diversity of crops and cropping systems together with the strong influence of human management. Here, we present a multi-site model comparison for four cro...
Article
Croplands are the largest biospheric source of carbon (C) to the atmosphere in Europe each year (∼0.3 GtC y⁻¹). Moreover, the biological dynamics of managed landscapes affect the fluctuations of atmospheric CO2 levels on annual and interannual scales. The activity of croplands must therefore be included in efforts to quantify, understand and regula...
Article
Full-text available
We present version 3 of the Cloud_cci Advanced Very High Resolution Radiometer post meridiem (AVHRR-PM) dataset, which contains a comprehensive set of cloud and radiative flux properties on a global scale covering the period of 1982 to 2016. The properties were retrieved from AVHRR measurements recorded by the afternoon (post meridiem – PM) satelli...
Article
Full-text available
We present version 3 of the Cloud_cci AVHRR-PM dataset which contains a comprehensive set of cloud and radiative flux properties on a global scale covering the period of 1982 to 2016. The properties were retrieved from Advanced Very High Resolution Radiometer (AVHRR) measurements recorded by the afternoon (post meridiem, PM) satellites of the Natio...
Article
Full-text available
An evaluation of the ERA-Interim clouds using satellite observations is presented. To facilitate such an evaluation in a proper way, a simplified satellite simulator has been developed and applied to 6-hourly ERA-Interim reanalysis data covering the period of 1982 to 2014. The simulator converts modelled cloud fields, for example those of the ERA-I...
Article
Full-text available
We present here the key features of the Community Cloud retrieval for CLimate (CC4CL) processing algorithm. We focus on the novel features of the framework: the optimal estimation approach in general, explicit uncertainty quantification through rigorous propagation of all known error sources into the final product, and the consistency of our long-t...
Article
Full-text available
The Community Cloud retrieval for Climate (CC4CL) is a cloud property retrieval system for satellite-based multispectral imagers and is an important component of the Cloud Climate Change Initiative (Cloud_cci) project. In this paper we discuss the optimal estimation retrieval of cloud optical thickness, effective radius and cloud top pressure based...
Article
Full-text available
An evaluation of the ERA-Interim clouds using satellite observations is presented. To facilitate such an evaluation in a proper way, a simplified satellite simulator has been developed and applied to six-hourly ERA-Interim reanalysis data covering the period 1982 to 2014. The simulator converts modelled cloud fields, for example those of the ERA-In...
Article
Full-text available
The ubiquity of missing data in plant trait databases may hinder trait-based analyses of ecological patterns and processes. Spatially explicit datasets with information on intraspecific trait variability are rare but offer great promise in improving our understanding of functional biogeography. At the same time, they offer specific challenges in te...
Article
Full-text available
The ubiquity of missing data in plant trait databases may hinder trait-based analyses of ecological patterns and processes. Spatially-explicit datasets with information on intraspecific trait variability are rare but offer great promise in improving our understanding of functional biogeography. At the same time, they offer specific challenges in te...
Article
Full-text available
New cloud property datasets based on measurements from the passive imaging satellite sensors AVHRR, MODIS, ATSR2, AATSR and MERIS are presented. Two retrieval systems were developed that include components for cloud detection and cloud typing followed by cloud property retrievals based on the optimal estimation (OE) technique. The OE-based retrieva...
Preprint
Full-text available
The Community Cloud retrieval for Climate (CC4CL) is a cloud property retrieval system for satellite-based multispectral imagers and is an important component of the Cloud Climate Change Initiative (Cloud_cci) project. In this paper we discuss the optimal estimation retrieval of cloud optical thickness, effective radius and cloud top pressure based...
Preprint
Full-text available
We present the key features of the Community Cloud retrieval for CLimate (CC4CL) processing algorithm. We focus on the novel features of the framework: the optimal estimation approach in general, explicit uncertainty quantification through rigorous propagation of all known error sources into the final product, and the consistency of our long-term,...
Preprint
Full-text available
New cloud property datasets based on measurements from the passive imaging satellite sensors AVHRR, MODIS, ATSR2, AATSR and MERIS are presented. Two retrieval systems were developed that include components for cloud detection and cloud typing followed by cloud property retrievals based on the optimal estimation (OE) technique. The OE-based retrieva...
Article
Full-text available
The microwave radiometers (MWRs) on board the European Remote Sensing Satellites 1 and 2 (ERS-1 and ERS-2) and Envisat provide a continuous time series of brightness temperature observations between 1991 and 2012. Here we report on a new total column water vapour (TCWV) and wet tropospheric correction (WTC) dataset that builds on this time series....
Article
Full-text available
The Microwave Radiometers (MWR) on-board ERS-1, ERS-2, and Envisat provide a continuous time series of brightness temperature observations between 1991 and 2012. Here we report on a new Total Column Water Vapour (TCWV) and Wet Tropospheric Correction (WTC) dataset that builds on this time series. We use a one-dimensional variational approach to der...
Article
Tree transpiration is regulated by short-term physiological adjustments and long-term shifts in hydraulic architecture in response to fluctuating evaporative demand and water supply. Despite the tight interdependence of plant water loss and carbon uptake and its crucial implications for plant growth and survival under drought conditions, the underl...
Article
AimMediterranean terrestrial ecosystems serve as reference laboratories for the investigation of global change because of their transitional climate, the high spatiotemporal variability of their environmental conditions, a rich and unique biodiversity and a wide range of socio-economic conditions. As scientific development and environmental pressur...
Article
Full-text available
Agroecosystem models are strongly dependent on information on land management patterns for regional applications. Land management practices play a major role in determining global yield variability, and add an anthropogenic signal to the observed seasonality of atmospheric CO2 concentrations. However, there is still little knowledge on spatial and...
Article
Full-text available
El pino albar (Pinus sylvestris) es uno de los árboles más ampliamente distribuidos del mundo. Pese a su gran plasticidad ecológica, numerosos estudios muestran que su capacidad de resistir la sequía se está viendo superada en diversas zonas, especialmente en la cuenca mediterránea, donde se halla el límite meridional de su distribución. El present...
Thesis
In the year 2000, croplands covered about 12% of the Earth’s ice-free land surface. Through cropland management, humankind momentarily appropriates about 25% of terrestrial ecosystem productivity. Not only are croplands a key element of human food supply, but also bear potential in increased carbon (C) uptake when best-practice land management appr...
Article
Full-text available
In order to model the water balance of a forest ecosystem and predict its response to environmental changes, the response of tree transpiration to environmental conditions needs to be simulated. The plant hydraulic system can be conceptualised as a series of hydraulic resistances. The flow of water between any two locations of this system is propor...
Article
Next to the consideration of land management practises, modelling the carbon balance of croplands requires a crop carbon budget model that realistically simulates photosynthesis, ecosystem respiration, soil carbon dynamics, and phenology dependant on crop-specific parameters and carbon allocation patterns. A crop carbon mass balance model is a tool...
Article
Croplands cover approximately 45% of Europe and play a significant role in the overall carbon budget of the continent. However, the estimation of the regional carbon balance is still uncertain. Here, we present a multi-site model comparison for four cropland ecosystem models namely the DNDC, ORCHIDEE-STICS, CERES-EGC and SPA model. We compare the a...
Article
Reducing uncertainties involved in estimating the carbon balance of croplands, which are most directly, intensively and continuously affected by human intervention (i.e. land-use), is an important step towards more precisely evaluating the overall terrestrial carbon balance. Human appropriation of the land surface and its production has direct cons...

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