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High-Resolution Reanalysis of Daily Precipitation using AROME Model Over France Cover

High-Resolution Reanalysis of Daily Precipitation using AROME Model Over France

Open Access
|Jan 2023

Figures & Tables

Figure 1

Determination of optimal values of λ1 over the whole period: (a) is the time series of optimal λ1 values (in blue) and its mean value (in red), (b) is the associated correlation factor, with daily values (in blue) and its mean value (in red), (c) is the distribution of the correlation factor over the whole period and (d) are the mean correlation factors over the whole period for each λ1 value.

Figure 2

Experimental (blue cross) and theoretical (red line) semi-variograms (a) and determination of σoBC, σbBC and L (b).

Figure 3

Daily values of σoBC (a) and σbBC (b) for the two methods.

Figure 4

Daily values of σoBC and σbBC for the Box-Cox transformation with λ=(13,0).

Figure 5

Put on evidence of the bias induced by the Box-Cox transformation. The red line stands for the analysis wanted (xia) and the blue line stands for the analysis obtained after the Box-Cox transformation (xi,Ta) for background values fixed at 0 mm (a), 5 mm (b), 10 mm (c) and 200 mm (d).

Figure 6

Spatial coverage of the evaluation observations’ altitudes (m) (a) and number of stations per altitude (b).

Figure 7

Differences of the accumulated daily precipitation averaged over France between the observations and the different experiments.

Table 1

Values of the scores for the different experiments.

EXPERIMENTBIAS (mm)RMSE (mm)DIFFERENCE AT THE END OF THE PERIOD
AROME1-3 km1.73 10–23.85+18.91 mm (+0.71%)
Reference–0.172.54–180.91 mm (–6.84%)
Box-CoxBack in physical space–0.112.38–118.63 mm (–4.48%)
Correction (Eq.(21))–5.41 10–22.40–59.24 mm (–2.24%)
Correction (Eq. (24))–5.67 10–22.39–62.14 mm (–2.35%)
Figure 8

Bias over the whole period for the reference (a), the background (b), the Box-Cox experiment with a simple back in physical space (c) and after bias correction (d). Blue points mean an overestimation while red ones mean an underestimation.

Figure 9

RMSE over the whole period for the reference (a) and percent of improvement for the background (b), the Box-Cox experiment with a simple back in physical space (c) and after bias correction (d). Blue points mean worse RMSE while red ones mean better ones.

Figure 10

HSS (a) and FBI (b) for the different experiments.

Table 2

Number of dry days for the observations, the experiments and their correlation R.

EXPERIMENTDRY DAYSR
Observations491 1551.00
AROME-1.3 km416 1450.64
Reference386 3090.60
Box-CoxBack in physical space445 1450.66
Correction373 2060.66
Figure 11

Difference of the number of dry days between observations and the analyses during the whole period for the reference (a), the background (b), the Box-Cox experiment with a simple back in physical space (c) and after bias correction (d). Blue (resp. red) points represent an underestimation (resp. overestimation) of the number of dry days.

Table 3

Seasonal bias for the different experiments (mm).

EXPERIMENTDJFMAMJJASON
AROME1-3 km0.170.19–0.15–0.14
Reference–0.14–0.19–0.21–0.12
Box-CoxBack in physical space–0.13–0.13–9.97 10–2–7.15 10–2
Correction–0.11–9.20 10–28.62 10–2–2.44 10–2
Table 4

Seasonal RMSE for the different experiments (mm).

EXPERIMENTDJFMAMJJASON
AROME1-3 km3.183.954.373.79
Reference2.062.812.932.24
Box-CoxBack in physical space1.942.432.882.15
Correction1.942.432.912.16
Figure 12

HSS for the different experiments during winter (a), spring (b), summer (c) and autumn (d).

Figure 13

FBI for the different experiments during winter (a), spring (b), summer (c) and autumn (d).

Table 5

Number of seasonal dry days for the observations, the experiments and their correlation R.

EXPERIMENTDJFMAMJJASON
Dry daysRDry daysRDry daysRDry daysR
Observations928551.001208891.001566841.001207271.00
AROME-1.3 km669460.64954850.611434390.691102750.55
Reference696170.60965450.541273950.64927520.51
Box-CoxBack in phys.space809730.701094310.611441840.691105570.59
Correction730000.70984340.601132900.67884820.59
Figure 14

Convective event of the 16/09/2016 modelled by AROME-1.3 km over the whole domain (a) and over the study area (b). Stars corresponds to evaluation observations and triangles for observations used as input of the MESCAN analysis. All the available observations over the study area (c).

Figure 15

Difference of the reference precipitation analysis and the background AROME-1.3 km during the convective event of the 16/09/2016 over the study area (a) and percent of added precipitation of the reference compared to the background AROME-1.3 km over the study area (b).

Figure 16

Percent of added precipitation of the transformed back into physical space analysis (a) and analysis after bias correction (b) compared to the reference and percent of added precipitation of the analysis after bias correction compared to the transformed back into physical space analysis (c).

Table 6

Bias and RMSE values for the different experiments on 16/09/2016 over the whole domain and over the study area (between parenthesis).

EXPERIMENTBIAS (mm)RMSE (mm)
AROME-1.3 km–0.08 (–1.61)13.71 (20.61)
Reference–0.91 (–3.32)7.49 (13.85)
Box-CoxBack in physical space–0.55 (–2.36)7.56 (14.09)
Correction (Eq. (21))–0.41 (–2.18)7.56 (14.05)
OBSERVATIONS
YesNo
ModelYesab
Nocd
DOI: https://doi.org/10.16993/tellusa.95 | Journal eISSN: 3035-9554
Language: English
Page range: 27 - 49
Submitted on: May 5, 2022
Accepted on: Aug 24, 2022
Published on: Jan 5, 2023
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services

© 2023 Stéphane Van Hyfte, Patrick Le Moigne, Eric Bazile, Antoine Verrelle, Aaron Boone, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.