Spatial interpolation of two‐metre temperature over Norway based on the combination of numerical weather prediction ensembles and <i>in situ</i> observations

Lussana, Cristian; Seierstad, Ivar A.; Nipen, Thomas N.; Cantarello, Luca

doi:10.1002/qj.3646

Cited by 11 publications

(5 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The mean daily summer (June–August) temperatures were calculated for the summers 2014 and 2015 and compared with the calculated summer temperatures for other years in the last 30-year-period (1989–2018). The calculations were based on interpolated long-term datasets from all weather stations in Norway ( Lussana et al, 2019a , 2019b ). These datasets have a 1 × 1km spatial resolution and a daily temporal resolution.…”

Section: Methodsmentioning

confidence: 99%

High winter loads of Oestrid larvae and Elaphostrongylus rangiferi are associated with emaciation in wild reindeer calves

Handeland

Tunheim

Madslien

et al. 2021

International Journal for Parasitology: Parasites and Wildlife

View full text Add to dashboard Cite

The Oestrid flies Cephemyia trompe and Hypoderma tarandi and the nematode Elaphostrongylus rangiferi are important parasites of Rangifer spp. The larvae of Oestrid flies develop in the throat ( C. trompe ) and skin ( H. tarandi ) of their host during winter while E. rangiferi develop in the CNS. Oestrid pupation, and development of E. rangiferi larvae from first- (L1) to infective third- stage in the environment during summer are highly temperature dependent. We investigated the possible negative effects of these parasites on the winter body-condition of wild reindeer calves. Two year-classes (generations) of calf, born in a warm (2014) and cold (2015) summer respectively, were examined for changes in body condition between autumn and spring, in relation to the parasite load determined in the spring. The body condition in the autumn was assessed as carcass weight, while the body condition in the spring was assessed as carcass weight, supplemented by an evaluation of fat reserves in various bodily locations. Oestrids were counted directly whereas the E. rangiferi quantification was based on faecal counts of L1 larvae. The abundance of infections for Oestrids and E. rangiferi were significantly greater in the 2014 generation than in the 2015 generation. The mean carcass weight decreased between autumn and spring for the 2014 generation but increased in the 2015 generation. Emaciation in the spring was documented (fat reserve evaluation) in 42% and 7% of calves in the 2014 and 2015 cohorts, respectively. There was a significant correlation between high parasite load and the probability of emaciation. The mean summer temperature in 2014 was 2.6 °C higher than the mean for 2015, and 1.0 °C higher than the mean for the last 30-years. Our findings suggest that following a warm summer, high loads of Oestrids and E. rangiferi may cause emaciation and potentially deaths among the calves.

show abstract

Section: Methodsmentioning

confidence: 99%

High winter loads of Oestrid larvae and Elaphostrongylus rangiferi are associated with emaciation in wild reindeer calves

Handeland

Tunheim

Madslien

et al. 2021

International Journal for Parasitology: Parasites and Wildlife

View full text Add to dashboard Cite

show abstract

“…com/metno/TITAN and titanlib at https://github.com/metno/titanlib. Specifically, the article refers to Titan release version 2.1.1 (https://doi.org/10.5281/zenodo.3667625, Lussana, 2020).…”

mentioning

confidence: 99%

TITAN automatic spatial quality control of meteorological in-situ observations

et al. 2020

Self Cite

View full text Add to dashboard Cite

Abstract. In science, poor quality input data will invariably lead to faulty conclusions, as in the spirit of the saying “garbage in, garbage out”. Atmospheric sciences make no exception and correct data is crucial to obtain a useful representation of the real world in meteorological, climatological and hydrological applications. Titan is a computer program for the automatic quality control of meteorological data that has been designed to serve real-time operational applications that process massive amounts of observations measured by networks of automatic weather stations. The need to quality control third-party data, such as citizen observations, within a station network that is constantly changing was an important motivation that led to the development of Titan. The quality control strategy adopted is a sequence of tests, where several of them utilize the expected spatial consistency between nearby observations. The spatial continuity can also be evaluated against independent data sources, such as numerical model output and remote sensing measurements. Examples of applications of Titan for the quality control of near-surface hourly temperature and precipitation over Scandinavia are presented. In the case of temperature, this specific application has been integrated into the operational production chain of automatic weather forecasts at the Norwegian Meteorological Institute (MET Norway). Titan is an open source project and it is made freely available for public download. One of the objectives of the Titan project is to establish a community working on common tools for automatic quality control, and the Titan program represents a first step in that direction for MET Norway. Further developments are necessary to achieve a solution that satisfies more users, for this reason we are currently working on transforming Titan into a more flexible library of functions.

show abstract

“…The dense citizen station network undergoes a spatial quality control prior to entering the analysis. See Nipen et al (2020), Båserud et al (2020), Lussana et al (2019) for a detailed description of the quality control and analysis method and https://github.com/metno/NWPdocs/wiki/MET-Nordic-dataset for a description of the product.…”

Section: The Nordic Analysismentioning

confidence: 99%

Using a Reanalysis-Driven Land Surface Model for Initialization of a Numerical Weather Prediction System

Bakketun,

Blyverket,

Müller

2023

Weather and Forecasting

View full text Add to dashboard Cite

Realistic initialization of the land surface is important to produce accurate NWP forecasts. Therefore, making use of available observations is essential when estimating the surface state. In this work, sequential land surface data assimilation of soil variables is replaced with an offline cycling method. In order to obtain a best possible initial state for the lower boundary of the NWP system, the land surface model is re-run between forecasts with an analyzed atmospheric forcing. We found a relative reduction of 2 meter temperature root mean square errors and mean errors of 6% and 12% respectively, and 4.5% and 11% for 2 meter specific humidity. During a convective event, the system was able to produce useful (fractions skill score greater than the uniform forecast) forecasts (above 30 mm per 12 hour) down to a 100 km length scale where the reference failed to do so below 200 km. The different precipitation forcing caused differences in soil moisture fields that persisted for several weeks and consequently impacted the surface fluxes of heat and moisture and further the forecasts of screen level parameters. The experiments also indicate diurnal and weather dependent variation of the forecast errors that give valuable insight on the role of initial land surface conditions and the land-atmosphere interactions in southern Scandinavia.

show abstract

Spatial interpolation of two‐metre temperature over Norway based on the combination of numerical weather prediction ensembles and in situ observations

Cited by 11 publications

References 51 publications

High winter loads of Oestrid larvae and Elaphostrongylus rangiferi are associated with emaciation in wild reindeer calves

High winter loads of Oestrid larvae and Elaphostrongylus rangiferi are associated with emaciation in wild reindeer calves

TITAN automatic spatial quality control of meteorological in-situ observations

Using a Reanalysis-Driven Land Surface Model for Initialization of a Numerical Weather Prediction System

Contact Info

Product

Resources

About