[HTML][HTML] LinkClimate: An interoperable knowledge graph platform for climate data
Climate science has become more ambitious in recent years as global awareness about the
environment has grown. To better understand climate, historical climate (eg archived …
environment has grown. To better understand climate, historical climate (eg archived …
Evaluating the reliability of air temperature from ERA5 reanalysis data
The reliability of European Remote Sensing 5 (ERA5) satellite-based air temperature data is
under investigation in this letter. To evaluate this, the ERA5 data will be compared with land …
under investigation in this letter. To evaluate this, the ERA5 data will be compared with land …
Improving tourism analytics from climate data using knowledge graphs
Climate change has been deemed to be one of the greatest challenges facing humans in
the 21st century, with extreme weather events taking place more regularly than before. While …
the 21st century, with extreme weather events taking place more regularly than before. While …
Boosting climate analysis with semantically uplifted knowledge graphs
Nowadays, the fast expansion of heterogeneous climate data resources accessible on the
Internet has led to substantial data fragmentation on the web. For example, station-based …
Internet has led to substantial data fragmentation on the web. For example, station-based …
Precipitation forecasting: from geophysical aspects to machine learning applications
ECL Oliveira, AV Nogueira Neto, APP Santos… - Frontiers in …, 2023 - frontiersin.org
Intense precipitation events pose a significant threat to human life. Mathematical and
computational models have been developed to simulate atmospheric dynamics to predict …
computational models have been developed to simulate atmospheric dynamics to predict …
The observational evidence of association between types of aerosol mode-cloud-precipitation interaction over Iran
The present study quantifies for the first time the statistical relationship between aerosol
properties with Cloud microphysical Properties (CPs), and consequently effect on …
properties with Cloud microphysical Properties (CPs), and consequently effect on …
Measurement of industrial smoke plumes from satellite images
Reducing industrial greenhouse gas (GHG) emissions has become imperative for mitigating
the adverse effects of climate change. Accurate measurement and monitoring of industrial …
the adverse effects of climate change. Accurate measurement and monitoring of industrial …
Augmenting weather sensor data with remote knowledge graphs
The latest analytical models are becoming frequently used in meteorological science
research. For instance, machine learning and deep learning models are being trained for …
research. For instance, machine learning and deep learning models are being trained for …
Efficient forecasting of precipitation using LSTM
Precipitation is one of those many critical elements of the hydrological cycle that has a direct
impact on human life in many aspects. An accurate and early detection of a future …
impact on human life in many aspects. An accurate and early detection of a future …
How accurate are the machine learning models in improving monthly rainfall prediction in hyper arid environment?
Arid regions like the United Arab Emirates (UAE) face a dire challenge of scarce water
resources and unpredictable climate patterns. This study investigates the efficacy of …
resources and unpredictable climate patterns. This study investigates the efficacy of …