Software and Methodological Support for the Operational Calculation of Solar Energy Absorbed by the Underlying Surface, Based on Satellite Data

An algorithm for constructing temperature maps of the underlying surface based on a multi-time series of atmospheric corrected satellite data from Landsat 8, implemented in the Google Earth Engine system, is presented. The results of the construction of temperature maps of Novosibirsk using this algorithm are discussed.

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Variations of surface roughness on inhomogeneous underlying surface at Nagqu Area over the Tibetan Plateau

10.5194/hess-2020-360 ◽

2020 ◽

Author(s):

Maoshan Li ◽

Lei Shu ◽

Xiaoran Liu ◽

Shucheng Yin ◽

Lingzhi Wang ◽

...

Keyword(s):

Surface Roughness ◽

Tibetan Plateau ◽

Satellite Data ◽

Underlying Surface ◽

Surface Model ◽

Model Parameters ◽

Observation Data ◽

The Tibetan Plateau ◽

Northern Tibetan Plateau ◽

Variation Characteristics

Abstract. Using the MODIS satellite data and station atmospheric turbulence observation data in Nagqu area of northern Tibetan plateau in 2008, 2010 and 2012, with the Massman retrieved model and an independent method to determine aerodynamic surface roughness, the temporal and spatial variation characteristics of the surface roughness was analyzed. The results show that the surface roughness has obvious seasonal variation characteristics. From February to August, Z0m increases constantly with the ablation of snow and vegetation growth, and the maximum value reaches 4–5 cm at BJ site. From September to February, Z0m gradually decreased because of the post-monsoon over the plateau, and the values decreased to about 1–2 cm. The snowfall in abnormal years is the main reason why Z0m is obviously lower than that in normal. The underlying surface can be divided into four categories according to the different values of Z0m: snow and ice, sparse grassland, lush grassland and town. Among them, lush grassland and sparse grassland account for 62.49 % and 33.74 % respectively in the region, which are the main categories, and their Z0m annual changes are between 2–6 cm and 1–4 cm. The correlation between the two methods are positively related to each other, and the retrieved data are smaller than the measured results due to the average sliding action. On the whole, Z0m calculated by satellite data retrieved algorithm is feasible, it can be applied to improve the model parameters of land surface model parameters and the accuracy of model simulation, better reveal the heat flux exchange.

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The Evaluation of Solar Energy Availability at Ground Level Using Satellite Resources

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.378.40 ◽

2013 ◽

Vol 378 ◽

pp. 40-45

Author(s):

Mihai Cristi Ceacaru ◽

Alexandru Dumitrescu ◽

Viorel Badescu

Keyword(s):

Solar Energy ◽

Satellite Data ◽

Solar Irradiance ◽

Cloud Cover ◽

Satellite Images ◽

Ground Level ◽

Time Sequence ◽

Energy Availability ◽

Reference Map

A well known statistical method for the determination of solar energy available at ground level (HELIOSAT) is presented. The method makes use of satellite data. The data are provided by the geostationary satellite Meteosat. In the first step, a reference map of cloudinees index from satellite data is deduced from the time-sequence of satellite images. Next, is calculated the global solar irradiance from satellite and the global solar at ground, considering cloudinees index from satellite and respectively cloud cover measured at ground .The paper describes some preliminary activities related to the implementation of this method for the latitudes of Romania.

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A satellite perspective on fog and low stratus dissipation over Europe

10.5194/egusphere-egu21-9383 ◽

2021 ◽

Author(s):

Eva Pauli ◽

Jan Cermak ◽

Hendrik Andersen

Keyword(s):

Time Series ◽

Logistic Regression ◽

Solar Energy ◽

Satellite Data ◽

Land Surface ◽

Geostationary Satellite ◽

Temporal Scale ◽

Physical Processes ◽

Surface Conditions ◽

Minute Interval

In this study, the dissipation of fog and low stratus (FLS) over Europe is analyzed based on geostationary satellite data using logistic regression.&#160; The dissipation of FLS is a result of the interaction of complex physical processes and its timing has implications for environmental systems, traffic at land, sea and in the air, as well as for the production of solar energy. However, the timing of FLS dissipation, as well as its relationship to meteorological and land surface conditions has not been investigated quantitatively over a large spatial and temporal scale yet.&#160; In this study a 10-year FLS dissipation climatology is created using logistic regression. For this, a binary satellite-based FLS mask for each 15-minute interval from 2006-2015 over Europe, by Egli et al. 2017, is used. A logistic regression is applied to identify the dissipation time of each individual fog event from the binary FLS time series. Marked geographic FLS dissipation patterns are apparent, where FLS is found to dissipate earlier in elevated terrains and persist longer in valleys. Furthermore, the influence of different meteorological and land surface conditions on FLS dissipation are investigated. In the future, the presented approach will be extended to analyze FLS formation and its dependency on meteorological and land surface conditions.

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Prediction of diffuse radiation in solar energy applications: Turkey case study and compare with satellite data

Energy ◽

10.1016/j.energy.2021.121527 ◽

2021 ◽

pp. 121527

Author(s):

Kadir Bakirci

Keyword(s):

Solar Energy ◽

Satellite Data ◽

Diffuse Radiation ◽

Energy Applications

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Estimations of Global Horizontal Irradiance and Direct Normal Irradiance by Using Fengyun-4A Satellite Data in Northern China

Remote Sensing ◽

10.3390/rs13040790 ◽

2021 ◽

Vol 13 (4) ◽

pp. 790 ◽

Cited By ~ 1

Author(s):

Dongyu Jia ◽

Jiajia Hua ◽

Liping Wang ◽

Yitao Guo ◽

Hong Guo ◽

...

Keyword(s):

Solar Radiation ◽

Solar Energy ◽

Satellite Data ◽

Weather Conditions ◽

Northern China ◽

Energy Utilization ◽

Mean Bias Error ◽

Clear Sky ◽

Direct Normal Irradiance ◽

Autumn And Winter

Accurate solar radiation estimation is very important for solar energy systems and is a precondition of solar energy utilization. Due to the rapid development of new energy sources, the demand for surface solar radiation estimation and observation has grown. Due to the scarcity of surface radiation observations, high-precision remote sensing data are trying to fill this gap. In this paper, a global solar irradiance estimation method (in different months, seasons, and weather conditions), using data from the advanced geosynchronous radiation imager (AGRI) sensor onboard the FengYun-4A satellite with cloud index methodology (CSD-SI), was tested. It was found that the FengYun-4A satellite data could be used to calculate the clear sky index through the Heliosat-2 method. Combined with McClear, the global horizontal irradiance (GHI) and the direct normal irradiance (DNI) in northeast China could be accurately obtained. The estimated GHI accuracy under clear sky was slightly affected by the seasons and the normalized root mean square error (nRMSE) values (in four sites) were higher in summer and autumn (including all weather conditions). Compared to the estimated GHI, the estimated DNI was less accurate. It was found that the estimated DNI in October had the best performance. In the meantime, the nRMSE, the normalized mean absolute error (nMAE), and the normalized mean bias error (nMBE) of Zhangbei were 35.152%, 27.145%, and −8.283%, while for Chengde, they were 43.150%, 28.822%, and −13.017%, respectively. In addition, the estimated DNI at ground level was significantly higher than the actual observed value in autumn and winter. Considering that the error mainly came from the overestimation of McClear, a new DNI radiation algorithm during autumn and winter is proposed for northern China. After applying the new algorithm, the nRMSE decreased from 49.324% to 48.226% for Chengde and from 48.342% to 41.631% for Zhangbei. Similarly, the nMBE decreased from −32.351% to −18.823% for Zhangbei and from −26.211% to −9.107% for Chengde.

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Rendez vous with Saturn's rings

International Astronomical Union Colloquium ◽

10.1017/s0252921100101885 ◽

1984 ◽

Vol 75 ◽

pp. 743-759 ◽

Cited By ~ 2

Author(s):

Kerry T. Nock

Keyword(s):

Solar Energy ◽

Electric Propulsion ◽

Power Source ◽

Propulsion System ◽

Low Thrust ◽

Ring Plane ◽

The Earth ◽

Total Impulse ◽

Saturn's Rings

ABSTRACTA mission to rendezvous with the rings of Saturn is studied with regard to science rationale and instrumentation and engineering feasibility and design. Future detailedin situexploration of the rings of Saturn will require spacecraft systems with enormous propulsive capability. NASA is currently studying the critical technologies for just such a system, called Nuclear Electric Propulsion (NEP). Electric propulsion is the only technology which can effectively provide the required total impulse for this demanding mission. Furthermore, the power source must be nuclear because the solar energy reaching Saturn is only 1% of that at the Earth. An important aspect of this mission is the ability of the low thrust propulsion system to continuously boost the spacecraft above the ring plane as it spirals in toward Saturn, thus enabling scientific measurements of ring particles from only a few kilometers.

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