- small changes; add refs to bib

how_to_eurec4a/icon_les-warming.md

@@ -15,32 +15,31 @@ kernelspec:
 
 ## Motivation
 
-We aim to get a deeper understanding of trade wind cloud feedback. The quantitative aspect of this is getting an accurate estimate of the magnitude of cloud feedback, the qualitative aspect is getting a better understanding of processes involved in the clouds response to global warming. Our large-domain LES with realistic boundary conditions allows a good representation of mesoscale processes and thus opens a unique view on this topic.
+We aim to get a deeper understanding of the trade-wind cloud feedback. The quantitative aspect of this is to get an accurate estimate of the magnitude of cloud feedback, the qualitative aspect is to get a better understanding of processes involved in the clouds' response to global warming. Our large-domain LES with realistic boundary conditions allows a good representation of mesoscale processes and thus opens a unique view on this topic.
 
 ## Domain
 
-We use the non-hydrostatic ICON model with two nested domains in the EUREC4A field campaign area. The simulations with unperturbed boundary conditions (our control run) are available as part of the [eurec4a intake catalog](https://github.com/eurec4a/eurec4a-intake) (Schulz & Stevens, 2023). 
+We use the non-hydrostatic ICON model with two nested domains in the EUREC<sup>4</sup>A field campaign area. The simulations with unperturbed boundary conditions (our control run) are available as part of the [EUREC<sup>4</sup>A intake catalog](https://github.com/eurec4a/eurec4a-intake) {cite:p}`Schulz_Stevens:2023`. 
 
 ![](https://gitlab.gwdg.de/hernan.campos/warm_eurec4a/-/raw/f107ebccdd2940629f9d388cdbed1a48bc643367/03_adiabatic_warming/img/fig_rectangle_domains_1and2_with_resolution.png)
 
 ## Forcing
 
-For the process understanding we will follow the idea that the effects of global warming on the trade wind regime can be separated into a dynamic (large scale circulation changes) and a thermodynamic part (increased temperatures; Bony et al., 2004). To get an accurate estimate we will use the pseudo global warming technique (PGW) with its comprehensive and realistic, GCM derived climate change signal, which combines and scales thermodynamic and dynamic effects. This leaves us with three warming experiment setups:
+For the process understanding we will follow the idea that the effects of global warming on the trade-wind regime can be separated into a dynamic (large scale circulation changes) and a thermodynamic part (increased temperatures; {cite:t}`Bonyetal:2004`). To get an accurate estimate we will use the pseudo global warming technique (PGW) with its comprehensive and realistic, GCM derived, climate change signal, which combines and scales thermodynamic and dynamic effects. This leaves us with three warming experiment setups:
 
 - A thermodynamic global warming, increasing only (surface and air) temperatures by 4 kelvin.
 - A dynamic global warming, only decreasing the subsidence, mimicing the slow down of the hadley circulation
 - A pseudo-global warming (PGW) experiment, aiming for a comprehensible, multi-variable climate change signal. 
 
 
-### Thermodynamic global warming
+## Thermodynamic global warming
 
 In this - our first - setup we raise the surface temperature by 4 kelvin. To extrapolate this warming into the vertical profile, we construct two moist adiabatic profiles from two surface temperatures and use the difference between the two as a *delta*. This idealised *delta* is then added to the existing boundary conditions of the control setup. We keep relative humidity constant through warming by adjusting the specific humidity accordingly.
 
 ![](https://gitlab.gwdg.de/hernan.campos/warm_eurec4a/-/raw/main/03_adiabatic_warming/img/fig_delta_from_moist_adiabats_4K.png?ref_type=heads)
 
+## A dynamic global warming
+__in planning__
 
-
-#### References
-
-- Bony, S., Dufresne, J. L., Le Treut, H., Morcrette, J. J., & Senior, C. (2004). On dynamic and thermodynamic components of cloud changes. *Climate dynamics*, 22, 71-86., DOI: [10.1007/s00382-003-0369-6](https://doi.org/10.1007/s00382-003-0369-6)
-- Schulz, H., & Stevens, B. (2023). Evaluating Large‐Domain, Hecto‐Meter, Large‐Eddy Simulations of Trade‐Wind Clouds Using EUREC4A Data. *Journal of Advances in Modeling Earth Systems*, 15(10), e2023MS003648., DOI: [10.1029/2023MS003648](https://doi.org/10.1029/2023MS003648)
+## A pseudo-global warming (PGW) experiment
+__in planning as part of EUREC4A-MIP__

how_to_eurec4a/references.bib

@@ -178,3 +178,27 @@ @Article{Poertge:2023
     URL = {https://amt.copernicus.org/articles/16/645/2023/},
     DOI = {10.5194/amt-16-645-2023}
 }
+
+@article{Schulz_Stevens:2023,
+  title = {Evaluating {{Large-Domain}}, {{Hecto-Meter}}, {{Large-Eddy Simulations}} of {{Trade-Wind Clouds Using EUREC4A Data}}},
+  author = {Schulz, Hauke and Stevens, Bjorn},
+  date = {2023},
+  journal = {Journal of Advances in Modeling Earth Systems},
+  volume = {15},
+  number = {10},
+  pages = {e2023MS003648},
+  issn = {1942-2466},
+  doi = {10.1029/2023MS003648},
+}
+
+@article{Bonyetal:2004,
+  title = {On Dynamic and Thermodynamic Components of Cloud Changes},
+  author = {Bony, S. and Dufresne, J.-L. and Le Treut, H. and Morcrette, J.-J. and Senior, C.},
+  date = {2004-03-01},
+  journal = {Climate Dynamics},
+  volume = {22},
+  number = {2},
+  pages = {71--86},
+  issn = {1432-0894},
+  doi = {10.1007/s00382-003-0369-6},
+}