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46 | 46 | ## Description |
47 | | -**PySPOD** is a Python package that implements the so-called **Spectral Proper Orthgonal Decomposition** whose name was first conied by (picard-&-delville-2000), and goes back to the original work by (lumley-1970). The implementation proposed here follows the original contributions by (towne-et-al.-2018), (schmidt-&-towne-2019). |
| 47 | +**PySPOD** is a Python package that implements the so-called **Spectral Proper Orthgonal Decomposition** whose name was first conied by (picard-&-delville-2000), and goes back to the original work by [(Lumley 1970)](#lumley-1970). The implementation proposed here follows the original contributions by [Towne et al. 2018](#towne-et-al.-2018), [Schmidt & Towne 2019](#schmidt-&-towne-2019). |
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49 | 49 | **Spectral Proper Orthgonal Decomposition (SPOD)** has been extensively used in the past few years to identify spatio-temporal coherent pattern in a variety of datasets, mainly in the fluidmechanics and climate communities. In fluidmechanics it was applied to jets (Schmidt et al. 2017), wakes (Colonius & Dabiri 2017), and boundary layers (Tutkun & George 2017), among others, while in weather and climate it was applied to ECMWF reanalysis datasets under the name Spectral Empirical Orthogonal Function, or SEOF, (Schmidt et al. 2019). |
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@@ -204,43 +204,43 @@ IF you want to run tests locally, you can do so by: |
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206 | 206 | ## References |
207 | | -###### (Lumley 1970) |
| 207 | +#### (Lumley 1970) |
208 | 208 | *Stochastic Tools in Turbulence.* |
209 | 209 | [[DOI](https://www.elsevier.com/books/stochastic-tools-in-turbulence/lumey/978-0-12-395772-6?aaref=https%3A%2F%2Fwww.google.com)] |
210 | 210 |
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211 | | -###### (Picard & Delville 2000) |
| 211 | +#### (Picard & Delville 2000) |
212 | 212 | *Pressure velocity coupling in a subsonic round jet.* |
213 | 213 | [[DOI](https://www.sciencedirect.com/science/article/abs/pii/S0142727X00000217)] |
214 | 214 |
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215 | | -###### (Tutkun & George 2017) |
| 215 | +#### Tutkun & George 2017 |
216 | 216 | *Lumley decomposition of turbulent boundary layer at high Reynolds numbers.* |
217 | 217 | [[DOI](https://aip.scitation.org/doi/10.1063/1.4974746)] |
218 | 218 |
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219 | | -###### (Schmidt et al. 2017) |
| 219 | +#### Schmidt et al. 2017 |
220 | 220 | *Wavepackets and trapped acoustic modes in a turbulent jet: coherent structure eduction and global stability.* |
221 | 221 | [[DOI](https://doi.org/10.1017/jfm.2017.407)] |
222 | 222 |
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223 | | -###### (Araya et al. 2017) |
| 223 | +#### Araya et al. 2017 |
224 | 224 | *Transition to bluff-body dynamics in the wake of vertical-axis wind turbines.* |
225 | 225 | [[DOI]( https://doi.org/10.1017/jfm.2016.862)] |
226 | 226 |
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227 | | -###### (Taira et al. 2017) |
| 227 | +#### Taira et al. 2017 |
228 | 228 | *Modal analysis of fluid flows: An overview.* |
229 | 229 | [[DOI](https://doi.org/10.2514/1.J056060)] |
230 | 230 |
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231 | | -###### (Towne et al. 2018) |
| 231 | +#### Towne et al. 2018 |
232 | 232 | *Spectral proper orthogonal decomposition and its relationship to dynamic mode decomposition and resolvent analysis.* |
233 | 233 | [[DOI]( https://doi.org/10.1017/jfm.2018.283)] |
234 | 234 |
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235 | | -###### (Schmidt & Towne 2019) |
| 235 | +#### Schmidt & Towne 2019 |
236 | 236 | *An efficient streaming algorithm for spectral proper orthogonal decomposition.* |
237 | 237 | [[DOI](https://doi.org/10.1016/j.cpc.2018.11.009)] |
238 | 238 |
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239 | | -###### (Schmidt et al. 2019) |
| 239 | +#### Schmidt et al. 2019 |
240 | 240 | *Spectral empirical orthogonal function analysis of weather and climate data.* |
241 | 241 | [[DOI](https://doi.org/10.1175/MWR-D-18-0337.1)] |
242 | 242 |
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243 | | -###### (Schmidt & Colonius 2020) |
| 243 | +#### Schmidt & Colonius 2020 |
244 | 244 | *Guide to spectral proper orthogonal decomposition.* |
245 | 245 | [[DOI](https://doi.org/10.2514/1.J058809)] |
246 | 246 |
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