"* Anderson, J. L., 2001: An ensemble adjustment Kalman filter for data assimilation. Mon. Weather Rev., 129, 2884–2903. [https://doi.org/10.1175/1520-0493(2001)129%3C2884:AEAKFF%3E2.0.CO;2]\n",
"* Anderson, J. L., 2001: [An ensemble adjustment Kalman filter for data assimilation](https://doi.org/10.1175/1520-0493(2001)129%3C2884:AEAKFF%3E2.0.CO;2). Mon. Weather Rev., 129, 2884–2903.\n",
"* Anderson, J. L., 2003: A local least squares framework for ensemble filtering. Mon. Weather Rev., 131, 634–642. [https://doi.org/10.1175/1520-0493(2003)131%3C0634:ALLSFF%3E2.0.CO;2]\n",
"* Anderson, J. L., 2003: [A local least squares framework for ensemble filtering](https://doi.org/10.1175/1520-0493(2003)131%3C0634:ALLSFF%3E2.0.CO;2). Mon. Weather Rev., 131, 634–642.\n",
"* Hunt, B. R., E. J. Kostelich, and I. Szunyogh, 2007: Efficient data assimilation for spatiotemporal chaos: A local ensemble transform Kalman filter. Physica D, 230, 112–126.\n",
"* Hunt, B. R., E. J. Kostelich, and I. Szunyogh, 2007: [Efficient data assimilation for spatiotemporal chaos: A local ensemble transform Kalman filter](http://dx.doi.org/10.1016/j.physd.2006.11.008). Physica D, 230, 112–126.\n",
"For the single-column model of the convective boundary layer (CBL):\n",
"For the single-column model of the convective boundary layer (CBL):\n",
"* Troen, I. B., and L. Mahrt, 1986: A simple model of the atmospheric boundary layer; sensitivity to surface evaporation. Bound.-Layer Meteorol., 37, 129–148. [https://doi.org/10.1007/BF00122760]"
"* Troen, I. B., and L. Mahrt, 1986: [A simple model of the atmospheric boundary layer; sensitivity to surface evaporation](https://doi.org/10.1007/BF00122760). Bound.-Layer Meteorol., 37, 129–148."
"ax1.set_title(r'Ensemble state at $t=3600$ s')\n",
"ax1.set_title(r'Ensemble state at $t=3600$ s')\n",
"ax1.legend(frameon=False)"
"l=ax1.legend(frameon=False)"
]
]
},
},
{
{
...
...
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# References
# References
For the data assimilation algorithms:
For the data assimilation algorithms:
* Anderson, J. L., 2001: An ensemble adjustment Kalman filter for data assimilation. Mon. Weather Rev., 129, 2884–2903. [https://doi.org/10.1175/1520-0493(2001)129%3C2884:AEAKFF%3E2.0.CO;2]
* Anderson, J. L., 2001: [An ensemble adjustment Kalman filter for data assimilation](https://doi.org/10.1175/1520-0493(2001)129%3C2884:AEAKFF%3E2.0.CO;2). Mon. Weather Rev., 129, 2884–2903.
* Anderson, J. L., 2003: A local least squares framework for ensemble filtering. Mon. Weather Rev., 131, 634–642. [https://doi.org/10.1175/1520-0493(2003)131%3C0634:ALLSFF%3E2.0.CO;2]
* Anderson, J. L., 2003: [A local least squares framework for ensemble filtering](https://doi.org/10.1175/1520-0493(2003)131%3C0634:ALLSFF%3E2.0.CO;2). Mon. Weather Rev., 131, 634–642.
* Hunt, B. R., E. J. Kostelich, and I. Szunyogh, 2007: Efficient data assimilation for spatiotemporal chaos: A local ensemble transform Kalman filter. Physica D, 230, 112–126.
* Hunt, B. R., E. J. Kostelich, and I. Szunyogh, 2007: [Efficient data assimilation for spatiotemporal chaos: A local ensemble transform Kalman filter](http://dx.doi.org/10.1016/j.physd.2006.11.008). Physica D, 230, 112–126.
[http://dx.doi.org/10.1016/j.physd.2006.11.008]
For the single-column model of the convective boundary layer (CBL):
For the single-column model of the convective boundary layer (CBL):
* Troen, I. B., and L. Mahrt, 1986: A simple model of the atmospheric boundary layer; sensitivity to surface evaporation. Bound.-Layer Meteorol., 37, 129–148. [https://doi.org/10.1007/BF00122760]
* Troen, I. B., and L. Mahrt, 1986: [A simple model of the atmospheric boundary layer; sensitivity to surface evaporation](https://doi.org/10.1007/BF00122760). Bound.-Layer Meteorol., 37, 129–148.
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%% Cell type:markdown id: tags:
# How to run a simple OSSE experiment
# How to run a simple OSSE experiment
The default configuration files (in `json` format) are set to compute a single analysis that assimilates a single observation. For configuration details, see below. Simply run:
The default configuration files (in `json` format) are set to compute a single analysis that assimilates a single observation. For configuration details, see below. Simply run:
