On the public citation graph

Performance Evaluation of Cmip6 Models for Application to Hydrological Modeling Studies – a Case Study of Australia

0 signed · 33 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/joc.1901openalex-extracted
Temporal characteristics and variability of point rainfall: a statistical and wavelet analysis
inferredcites →https://doi.org/10.1002/joc.7296openalex-extracted
An evaluation of CMIP5 and CMIP6 climate models in simulating summer rainfall in the Southeast Asian monsoon domain
inferredcites →https://doi.org/10.1002/qj.3803openalex-extracted
The ERA5 global reanalysis
inferredcites →https://doi.org/10.1007/s00382-020-05259-6openalex-extracted
The linkage between CMIP5 climate models’ abilities to simulate precipitation and vector winds
inferredcites →https://doi.org/10.1007/s00704-015-1721-6openalex-extracted
Ranking of CMIP5-based global climate models for India using compromise programming
inferredcites →https://doi.org/10.1016/0022-1694(70)90255-6openalex-extracted
River flow forecasting through conceptual models part I — A discussion of principles
inferredcites →https://doi.org/10.1016/j.atmosres.2020.105111openalex-extracted
Future drought characteristics through a multi-model ensemble from CMIP6 over South Asia
inferredcites →https://doi.org/10.1016/j.jhydrol.2017.04.025openalex-extracted
Impacts of weighting climate models for hydro-meteorological climate change studies
inferredcites →https://doi.org/10.1016/j.jhydrol.2017.08.034openalex-extracted
Evaluation on uncertainty sources in projecting hydrological changes over the Xijiang River basin in South China
inferredcites →https://doi.org/10.1016/j.jhydrol.2018.10.041openalex-extracted
Uncertainty of hydrologic processes caused by bias-corrected CMIP5 climate change projections with alternative historical data sources
inferredcites →https://doi.org/10.1016/j.jhydrol.2019.03.092openalex-extracted
Fidelity assessment of general circulation model simulated precipitation and temperature over Pakistan using a feature selection method
inferredcites →https://doi.org/10.1016/j.jhydrol.2020.125422openalex-extracted
Assessment of precipitation extremes in India during the 21st century under SSP1-1.9 mitigation scenarios of CMIP6 GCMs
inferredcites →https://doi.org/10.1016/j.scitotenv.2018.06.306openalex-extracted
Integrated assessment of the climate and landuse change impact on hydrology and water quality in the Songkhram River Basin, Thailand
inferredcites →https://doi.org/10.1016/j.scitotenv.2019.06.310openalex-extracted
A new statistical downscaling approach for global evaluation of the CMIP5 precipitation outputs: Model development and application
inferredcites →https://doi.org/10.1016/j.scitotenv.2019.135357openalex-extracted
Development of multi-model ensemble approach for enhanced assessment of impacts of climate change on climate extremes
inferredcites →https://doi.org/10.1016/j.scitotenv.2021.149137openalex-extracted
Evaluation of the CORDEX regional climate models (RCMs) for simulating climate extremes in the Asian cities
inferredcites →https://doi.org/10.1016/j.scitotenv.2022.154551openalex-extracted
A generalized methodology for ranking climate models based on climate indices for sector-specific studies: An application to the Mekong sub-basin
inferredcites →https://doi.org/10.1029/2006gl027721openalex-extracted
Regional climate impacts of the Southern Annular Mode
inferredcites →https://doi.org/10.1029/2019ef001469openalex-extracted
Insights From CMIP6 for Australia's Future Climate
inferredcites →https://doi.org/10.1029/2019gl085782openalex-extracted
Causes of Higher Climate Sensitivity in CMIP6 Models
inferredcites →https://doi.org/10.1029/2021gl094295openalex-extracted
Revisiting ENSO and IOD Contributions to Australian Precipitation
inferredcites →https://doi.org/10.1038/43854openalex-extracted
A dipole mode in the tropical Indian Ocean
inferredcites →https://doi.org/10.1061/(asce)1084-0699(1999)4:2(135)openalex-extracted
Status of Automatic Calibration for Hydrologic Models: Comparison with Multilevel Expert Calibration
inferredcites →https://doi.org/10.1071/es15004openalex-extracted
Evaluation of CMIP3 and CMIP5 Models over the Australian Region to Inform Confidence in Projections
inferredcites →https://doi.org/10.1080/19942060.2019.1683076openalex-extracted
Precipitation projection using a CMIP5 GCM ensemble model: a regional investigation of Syria
inferredcites →https://doi.org/10.1175/2008jcli2595.1openalex-extracted
Impacts of the Madden–Julian Oscillation on Australian Rainfall and Circulation
inferredcites →https://doi.org/10.1175/2009mwr2861.1openalex-extracted
On the Remote Drivers of Rainfall Variability in Australia
inferredcites →https://doi.org/10.1175/2010jcli3475.1openalex-extracted
Indian and Pacific Ocean Influences on Southeast Australian Drought and Soil Moisture
inferredcites →https://doi.org/10.1175/2011jcli4129.1openalex-extracted
Teleconnection Pathways of ENSO and the IOD and the Mechanisms for Impacts on Australian Rainfall
inferredcites →https://doi.org/10.1175/bams-d-15-00297.1openalex-extracted
Uncertainty Quantification in Climate Modeling and Projection
inferredcites →https://doi.org/10.1175/jcli-d-13-00044.1openalex-extracted
Assessment of CMIP5 Model Simulations of the North American Monsoon System
inferredcites →https://doi.org/10.1175/jcli-d-14-00458.1openalex-extracted
Variability and Trends of Global Atmospheric Frontal Activity and Links with Large-Scale Modes of Variability
inferredcites →https://doi.org/10.3354/cr01222openalex-extracted
Ranking of global climate models for India using multicriterion analysis
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.