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Thematic cluster: Parameterization of lakes in numerical weather prediction and climate models

On the contribution of lakes in predicting near-surface temperature in a global weather forecasting model

, , , , &
Article: 15829 | Received 17 May 2011, Published online: 23 Feb 2012

Figures & data

Fig. 1.  Lake cover fraction as provided by the GLCC land-cover map.

Fig. 2.  Global lake and oceans bathymetry (merged product described in the text).

Fig. 3.  Climatological lake mixed-layer temperature [in K] in (a) winter (DJF), (b) spring (MAM), (c) summer (JJA), (d) autumn (SON) seasons as generated by the lake-planet simulations (1989–2009).

Fig. 4.  As in but lake ice depth [in m].

Fig. 5.  Comparison between the lake-planet mixed-layer temperature simulations and the MODIS LST during the period 2001–2008 over grid points where the model lake fraction is greater than 10%.

Fig. 6.  Comparison between the lake-planet ice simulation and IMS ice product: (a) ice formation day and (b) ice break-up day for three model ice-depth thresholds (1, 20 and 40 cm) are shown.

Fig. 7.  Sensitivity of 48-hour T2m forecasts (valid at 00 UTC) for LAKE compared with NOLAKE for (a) winter (DJF) and (b) autumn (SON). Negative values indicate cooling.

Fig. 8.  As in but for (a) spring (MAM) and (b) summer (JJA).

Fig. 9.  Impact of 48-hour T2m forecasts (valid at 00 UTC) for LAKE compared with NOLAKE, verified against the ECMWF T2m analysis: Mean Absolute Error difference for (a) winter (DJF) and (b) autumn (SON). Negative values indicate an improvement (MAE reduction).

Fig. 10.  As in but for (a) spring (MAM) and (b) summer (JJA).