Siyuan Tian
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View article: The Australian regional atmospheric reanalysis system, version 2 – BARRA2
The Australian regional atmospheric reanalysis system, version 2 – BARRA2 Open
Bureau of Meteorology high-resolution Atmospheric Regional Reanalysis for Australia version 2 (BARRA2) is a new regional reanalysis, nested in ERA5 (ECMWF (European Centre for Medium-Range Weather Forecasts) Reanalysis ver. 5), extending f…
View article: Masked and Clustered Pre-Training for Geosynchronous Satellite Maneuver Detection
Masked and Clustered Pre-Training for Geosynchronous Satellite Maneuver Detection Open
Geosynchronous satellite maneuver detection is critical for enhancing space situational awareness and inferring satellite intent. However, traditional methods often require high-quality orbital sequence data and heavily rely on hand-crafte…
View article: Improving plant-available water estimation using model averaging of national soil water models
Improving plant-available water estimation using model averaging of national soil water models Open
Introduction Multiple operational soil water balance (SWB) models provide real-time estimates of soil moisture across Australia, yet differences in model structure and outputs introduce uncertainty for end users. Model averaging offers a p…
View article: Continuous monitoring of hydrological droughts in the Pearl River basin using a novel GRACE/GFO gap-filling method
Continuous monitoring of hydrological droughts in the Pearl River basin using a novel GRACE/GFO gap-filling method Open
Study region: The Pearl River basin, China. Study focus: Continuous hydrological drought monitoring is crucial for effective water resource management. The Gravity Recovery and Climate Experiment (GRACE) and GRACE Follow-On (GFO) missions …
View article: Analysis of vegetation coverage changes and driving forces in the source region of the yellow river
Analysis of vegetation coverage changes and driving forces in the source region of the yellow river Open
View article: Spatial Soil Moisture Prediction From In Situ Data Upscaled to Landsat Footprint: Assessing Area of Applicability of Machine Learning Models
Spatial Soil Moisture Prediction From In Situ Data Upscaled to Landsat Footprint: Assessing Area of Applicability of Machine Learning Models Open
View article: Research on the Application of Desktop Virtual Reality in Middle School Physics Experiment Teaching under the Cooperative Enquiry Mode
Research on the Application of Desktop Virtual Reality in Middle School Physics Experiment Teaching under the Cooperative Enquiry Mode Open
As one of the important means of assisting experimental teaching, immersive virtual reality is limited by wearable devices in actual teaching environments, making it difficult to achieve large-scale application. In contrast, desktop virtua…
View article: Conformational Space Profiling Enhances Generic Molecular Representation for AI‐Powered Ligand‐Based Drug Discovery
Conformational Space Profiling Enhances Generic Molecular Representation for AI‐Powered Ligand‐Based Drug Discovery Open
The molecular representation model is a neural network that converts molecular representations (SMILES, Graph) into feature vectors, and is an essential module applied across a wide range of artificial intelligence‐driven drug discovery sc…
View article: Detecting groundwater dependence and woody vegetation restoration with NDVI and moisture trend analyses in an Indonesian karst savanna
Detecting groundwater dependence and woody vegetation restoration with NDVI and moisture trend analyses in an Indonesian karst savanna Open
Woody vegetation restoration projects are an important feature of landscape function in Indonesian karst savannas. Understanding the relationship between available moisture and vegetation condition can assist with the planning and implemen…
View article: Himawari-ANU: A recalibrated geostationary land surface temperature dataset based on MODIS spatiotemporal characteristics
Himawari-ANU: A recalibrated geostationary land surface temperature dataset based on MODIS spatiotemporal characteristics Open
The geostationary Himawari-8 satellite offers a unique opportunity to monitor sub-daily thermal dynamics over Asia and Oceania, and several operational land surface temperature (LST) retrieval algorithms have been developed for this purpos…
View article: Solar zenith angle-based calibration of Himawari-8 land surface temperature for correcting diurnal retrieval error characteristics
Solar zenith angle-based calibration of Himawari-8 land surface temperature for correcting diurnal retrieval error characteristics Open
The geostationary Himawari-8 satellite offers a unique opportunity to monitor sub-daily thermal dynamics over Asia and Oceania, and several operational land surface temperature (LST) retrieval algorithms have been developed for this purpos…
View article: Himawari-ANU: A recalibrated geostationary land surface temperature dataset based on MODIS spatiotemporal characteristics
Himawari-ANU: A recalibrated geostationary land surface temperature dataset based on MODIS spatiotemporal characteristics Open
The geostationary Himawari-8 satellite offers a unique opportunity to monitor sub-daily thermal dynamics over Asia and Oceania, and several operational land surface temperature (LST) retrieval algorithms have been developed for this purpos…
View article: Spatial Soil Moisture Prediction from In-Situ Data Upscaled to Landsat Footprint Across Heterogeneous Agricultural Landscapes
Spatial Soil Moisture Prediction from In-Situ Data Upscaled to Landsat Footprint Across Heterogeneous Agricultural Landscapes Open
View article: Conformational Space Profile Enhances Generic Molecular Representation Learning
Conformational Space Profile Enhances Generic Molecular Representation Learning Open
The molecular representation model is a neural network that converts molecular representations (SMILES, Graph) into feature vectors, that carries the potential to be applied across a wide scope of drug discovery scenarios. However, current…
View article: Solar zenith angle-based calibration of Himawari-8 land surface temperature based on MODIS spatiotemporal characteristics
Solar zenith angle-based calibration of Himawari-8 land surface temperature based on MODIS spatiotemporal characteristics Open
The geostationary Himawari-8 satellite offers a unique opportunity to monitor sub-daily thermal dynamics over Asia and Oceania, and several operational land surface temperature (LST) retrieval algorithms have been developed for this purpos…
View article: Generating daily 100 m resolution land surface temperature estimates continentally using an unbiased spatiotemporal fusion approach
Generating daily 100 m resolution land surface temperature estimates continentally using an unbiased spatiotemporal fusion approach Open
Fine spatial resolution (i.e., ≤ 100 m) land surface temperature (LST) data are crucial to study heterogeneous landscapes (e.g., agricultural and urban). Some well-known spatiotemporal fusion methods like the Spatial and Temporal Adaptive …
View article: Global reconstructions of the GRACE-like terrestrial water storage anomalies
Global reconstructions of the GRACE-like terrestrial water storage anomalies Open
These datasets provide global (excluding Antarctica) reconstructions of the GRACE-like terrestrial water storage anomalies (TWSA) from April 2002 to July 2021 with a spatial resolution of 1 degree. These reconstructed TWSAs were generated …
View article: Global reconstructions of the GRACE-like terrestrial water storage anomalies
Global reconstructions of the GRACE-like terrestrial water storage anomalies Open
These datasets provide global (excluding Antarctica) reconstructions of the GRACE-like terrestrial water storage anomalies (TWSA) from April 2002 to July 2021 with a spatial resolution of 1 degree. These reconstructed TWSAs were generated …
View article: An unbiased spatiotemporal fusion approach to generate daily 100 m spatial resolution land surface temperature over a continental scale
An unbiased spatiotemporal fusion approach to generate daily 100 m spatial resolution land surface temperature over a continental scale Open
High spatial resolution land surface temperature (LST) (<= 100 m) has a considerable significance for small scale studies like agricultural applications and urban heat island studies. Originally developed for optical data, spatiotemporal f…
View article: Satellite-driven 10km global root-zone soil moisture analysis for drought monitoring
Satellite-driven 10km global root-zone soil moisture analysis for drought monitoring Open
Root-zone soil moisture condition is an important component of water cycle at all spatial scales, as it controls various hydrological, biological and meteorological processes such as plant transpiration and hydraulic redistribution. Passiv…
View article: Satellite-driven 10km global root-zone soil moisture analysis for drought monitoring
Satellite-driven 10km global root-zone soil moisture analysis for drought monitoring Open
Root-zone soil moisture condition is an important component of water cycle at all spatial scales, as it controls various hydrological, biological and meteorological processes such as plant transpiration and hydraulic redistribution. Passiv…
View article: DeepPROTACs is a deep learning-based targeted degradation predictor for PROTACs
DeepPROTACs is a deep learning-based targeted degradation predictor for PROTACs Open
View article: Is livestock grazing compatible with green peafowl (Pavo muticus) conservation? Potential chance of peafowl-human coexistence
Is livestock grazing compatible with green peafowl (Pavo muticus) conservation? Potential chance of peafowl-human coexistence Open
Establishing adequate nature reserves and managing them effectively requires an enormous amount of resources, and is particularly challenging when species and communities are believed to have diverse needs. Decision-makers need to understa…
View article: Spatio‐Temporal Model Variance‐Covariance Approach to Assimilating Streamflow Observations Into a Distributed Landscape Water Balance Model
Spatio‐Temporal Model Variance‐Covariance Approach to Assimilating Streamflow Observations Into a Distributed Landscape Water Balance Model Open
Accurate initial conditions play a critical role in improving predictive accuracy of hydrological models for quantities such as streamflow generation. Streamflow observations from in situ gauging sites have been assimilated in a wide range…
View article: Satellite soil moisture data assimilation for improved operational continental water balance prediction
Satellite soil moisture data assimilation for improved operational continental water balance prediction Open
A simple and effective two-step data assimilation framework was developed to improve soil moisture representation in an operational large-scale water balance model. The first step is a Kalman-filter-type sequential state updating process t…
View article: Response to reviewer1
Response to reviewer1 Open
View article: Spatio-Temporal Evaluation of Water Storage Trends from Hydrological Models over Australia Using GRACE Mascon Solutions
Spatio-Temporal Evaluation of Water Storage Trends from Hydrological Models over Australia Using GRACE Mascon Solutions Open
The Gravity Recovery and Climate Experiment (GRACE) data have been extensively used to evaluate the total terrestrial water storage anomalies (TWSA) from hydrological models. However, which individual water storage components (i.e., soil m…
View article: Satellite soil moisture data assimilation for improved operational continental water balance prediction
Satellite soil moisture data assimilation for improved operational continental water balance prediction Open
A simple and effective two-step data assimilation framework was developed to improve soil moisture representation in an operational large-scale water balance model. The first step is the sequential state updating process that exploits temp…
View article: On agricultural drought monitoring in Australia using Himawari-8 geostationary thermal infrared observations
On agricultural drought monitoring in Australia using Himawari-8 geostationary thermal infrared observations Open
View article: Corrigendum to “Monitoring agricultural drought in Australia using MTSAT-2 land surface temperature retrievals” [Remote Sens. Environ. 236 (January 2020) 111419]
Corrigendum to “Monitoring agricultural drought in Australia using MTSAT-2 land surface temperature retrievals” [Remote Sens. Environ. 236 (January 2020) 111419] Open