Systematic errors in northern Eurasian short-term weather forecasts induced by atmospheric boundary layer thickness
Igor Esau; Mikhail Tolstykh; Rostislav Fadeev; Vladimir Shashkin; Svetlana Makhnorylova; Victoria Miles; Vladimir Melnikov · 2018 · Environmental Research Letters
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Systematic errors in forecast near-surface air temperature (SAT) still constitute a considerable problem for numerical weather prediction (NWP) at high latitudes. Numerous studies in the past have attempted to reduce this problem through recalibration of physical parameterization schemes and better approximation of the surface energy budget. The errors, however, remain despite notable improvements in the overall weather forecast performance. This study looks at the problem from a different perspective. It analyzes asymmetries in the SAT forecast errors. The study reveals a statistical pattern
Abstract by Igor Esau; Mikhail Tolstykh; Rostislav Fadeev; Vladimir Shashkin; Svetlana Makhnorylova; Victoria Miles; Vladimir Melnikov, Environmental Research Letters (2018) — licensed CC BY 4.0.
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Metadata source: DOAJ · DOI 10.1088/1748-9326/aaecfb