@book{fdi:010096207,
  title = {{D}eveloping historical gridded climate datasets for {V}iet {N}am using reanalysis data and station observations since the 1940s},
  author = {{T}hanh {N}guyen-{X}uan and {T}hanh {N}go-{D}uc and {T}ung {N}guyen-{D}uy and {T}am {N}guyen-{N}goc-{M}inh and {D}zung {N}guyen-{L}e and {T}hi {T}hanh {N}ga {P}ham and {T}homas, {F}r{\'e}d{\'e}ric and {W}oillez, {M}.{N}.},
  editor = {{W}oillez, {M}.{N}.},
  language = {{ENG}},
  abstract = {{A}ccurate and high-resolution gridded climate data are crucial for scientific applications, yet such data have long faced limitations due to sparse and uneven station networks. {I}n this study, we address this gap for {V}ietnam by developing the {V}ietnam {H}istorical {G}ridded {C}limate ({V}n{HGC}) dataset, which for the first time combines an expanded suite of historical station observations, including newly digitized and quality-controlled records with state-of-the-art reanalysis products through {O}ptimal {I}nterpolation ({OI}). {T}wo products were constructed: a monthly dataset for 1940-1953 with a horizontal resolution of 25 km based on the background field of {ERA}5, and a daily dataset for 1961-1980 with a horizontal resolution of 10 km based on the background field of {ERA}5-{LAND}. {H}istorical observations were bias-corrected and assimilated into the background fields to maximize local representativeness, especially in data-poor regions. {I}n general, evaluation against independent station data shows that {V}n{HGC} substantially reduces systematic biases and better resolves regional patterns of temperature and precipitation, with the greatest improvements in northern and mountainous areas where reanalyses typically underperform. {T}hese improvements are especially pronounced in the daily dataset (1961-1980), reflecting the combined effects of higher temporal resolution and greater station availability.},
  keywords = {{VIET} {NAM}},
  address = {{P}aris},
  publisher = {{AFD}},
  series = {{R}esearch {P}apers - {AFD}},
  pages = {28},
  year = {2025},
  ISSN = {2492-2846},
  URL = {https://www.documentation.ird.fr/hor/fdi:010096207},
}