Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Tristen_Wanner_031823_4 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | November 15, 2015 |
Start Time | | 2015/11/15 00:00 |
End Time | | 2015/11/15 12:00 |
Key Words | | G1eventWithRCM |
Model | | SWMF |
Model Version | | v20180525 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | -21.66 |
Dipole Tilt, in Y-Z GSE plane, deg | | -5.19 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | 103.50000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Tristen_Wanner_031823_4 |
Minimum Dst Value | | -15 |
SW Source | | ACE-L2 |
Diagnostic Indices | | YES, plot them |
|
View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for THEMIS-C for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAU2F0IE1heSAwNiAyMjozNzoyMiBVVEMgMjAyM1gocUUAAAGedEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoiVHJpc3Rlbl9XYW5uZXJfMDMxODIzXzQ6IFNXTUYgcGxvdCBvZiByaG8gYWxvbmcgVEhFTUlTLUMgdHJhamVjdG9yeS4iLCAKICAgICJ4YXhpcyI6IHsgImxhYmVsIjoiIiwgIm1pbiI6IjIwMTUtMTEtMTVUMDA6MDA6MDAuMDAwWiIsICJtYXgiOiIyMDE1LTExLTE1VDEyOjAwOjAwLjAwMFoiLCAibGVmdCI6NzgsICJyaWdodCI6NzA5LCAidHlwZSI6ImxpbiIsICJ1bml0cyI6IlVUQyIgfSwKICAgICJ5YXhpcyI6IHsgImxhYmVsIjoicmhvIiwgIm1pbiI6MC4wLCAibWF4IjoxMDAuMCwgInRvcCI6NTIsICJib3R0b20iOjIzNSwgInR5cGUiOiJsaW4iLCAidW5pdHMiOiIiIH0KICB9CiBdfe3emQoAAAAEZ0FNQQAAr8g3BYrpAAAc6UlEQVR4nO3db4Rc5/4A8CXWWrEiVERFRKiqqhXlqlprrVAVURGhqmLFClF5URGXsa6fWBWq6rqiyqq8rHBF1RVVakXdVyUirogI64qqFUtURcSa32OPe0yfmTlzdnKe5Myez+dFnDk5f575fs+c73fOnpkZawMAUKmxlz0AAICdRoMFAFAxDRYAQMU0WAAAFdNgAQBUTIMFAFAxDRYAQMU0WAAAFdNgAQBUTIMFAFAxDRYAQMU0WAAAFdNgAQBUTIMFAFAxDRYAQMU0WAAAFdNgAQBUTIMFAFAxDRYAQMU0WAAAFdNgAQBUTIMFAFAxDRYAQMU0WAAAFdNgAQBUTIMFAFAxDRYAQMU0WAAAFdNgAQBUTIMFAFAxDRZQO2Nj1Z+abt68eeDAgYFbTrHrFNsEas7Lnh7UA16uFEfgO++8s7q6+lJ27QWViMBSZ47OZhnrZYiNVDikx48f79u3b3NzM5/z0Ucf5dNh/v79+zc2Nirc4/NYWlravaXVauUzf/rpp7m5uYmJiampqdOnT//666/5f/UM8tra2rFjxya3hIkHDx7k25mfn8+2c+bMmfX19YHb7ydE7NChQ2UyFeL/6aefHjx4cHx8PGz/5MmTP//8c8mkhO1PT09HGzxy5Ei+36GPtBTXmUIAK9n1ENL1Af1e0T332C8vnfMHJjSb6HnY9BvkvXv3Tpw4EV41YeHQ5l6/fr1gbC+AtowXw3HWUM9ziqn89HTq1Kl//vOf2fTTp0937dr15MmT7GGYH07N1e5uaCsrK7Ozs4+2hI4nPMzmv/feez/88MOzZ89C5/Hll1/+5S9/iVaMIhZq2GefffZsy/Lycihg2fzQbP34449hI+Hph+oVmq2S2+924cKFy5cvl8nU+++/HxbOmrYQ/BDw8NTa5ZISth/qZRhzvrUbN26EOd31eLtSNFglVxmtBqvfLgY2WP02UjKh/Q6bbuH9Q+jDwoslLBYe3rp1q7NZLx5wIhosXgzHWUN1n47/8Y9/7N+/P9TRzv8Np9e33norvPU/dOjQN9980/7ze9989VartXfv3rBYOHX+/vvv+TbDWTV7jxt6iNu3b/cbTNjL8ePHs+nvv/8+jCH8mz0M8//1r3+FiYcPH4Z3yZOTk2Fr4eSeX93pt5eCvfcbbWcEegrdVf43pjAxMzPTc7HuKyVRtKNd9LyyEnqpMPKS24/cu3fv8OHDoSErU3TDXjqvVOXKJCVsMMzsrKwhJt999135Biss8MUXX+zbty88qYWFhbyHy1cMc86dO5ddNQwT2QLFV8W2u0r3wd/zyOm52UjBUVq8kX47DU1JCEsITgjR559/XhDPqhqskgntd9h0C+O/cuVK8TI9r6V1JmVgYNt9XtfBX//61z179kxNTYUN9txXQVLyMYSYXLt2Ld9m6CxfffXVzr1ANw1WQ3Wfjk+fPt3ZbWQTr7zySvZ2NpzRzp8/33Pd//u///vggw8ePXoUKvri4mLnYuFMF+aHE3EoogXXXcIC4WwVlmxvnSVPnToVzonZTsP87Dz+5ptv/vvf/w7TYS/hf8NZu3gv/eYXjLYzAj2F83teVMJEeNj9RP7+978fO3Ysmh9FLJSK5eXlzS2XLl0KD7v3Ffqb/ArWwO1HQgOUFYMyRTfs5cyZM1lso30NTEq2wddff/2XX34JE2EjYbpdopB3DunEiROPt4SJbBedK168eDHkK18gPBy45e2u0n3w9zxy+m22U8FROnBsPXcaNhIWC2MLy4fj5AU0WO1yCe132HQLzU0YfPEyPcffmZSBge33uv7b3/4WGrIwP7Sq3UdXpiAp+Rhu3rwZ3mrmq3zyySeh3x34pGg4DVZDdZ/OslIa/W94Sx3ew0U3/UTrHjhw4L///W82/ccff4Tzab5Y/l6w4HpMJpzUsveX77333p07d44ePRqmQ6XpWcbC1sL70eK99JtfMNrOCPQUPfHoGWXvifft23f//v3iFcPb8ewGqSBM/Pbbb9HyIQKhoqytrZXcfqdQCd59992e++1pY2NjaWkpFI/QL4bgXLhwIb/jbWBSsu1/9dVXof1qbzV2+WXOzjEXXG0KM/N0hOe7f//+aORhTh6HMBGe/sCntt1Vug/+nkdOv832Ex2lA8fWb6fhaMmmw8S2Gqye+v1v50aKE5pNFBw2keIXfsH4+70eewa23+s6vBmIXkfd+ypISucY3nnnnW+//bb9vz96Zn/xhAIarIYqfr+bP7x9+3Y41YazVXgje+PGjX4Ld8r//lXmLXXuP//5T3jXHk6db7zxRngY/g3T4fQd6nq2QHj/Ojs7G87mJfdSML/MaHsqcwUrvK/N+5t+zz10KsvLy/k9WNGVqtAhvfbaaz3/otpv+52mp6ezyw8ln1SnUF3CW/N8PAOTkm0/zAzl7bvvvgv/dl7ZKjOAaIHO/rjkAkNss3j5kkdUz75h4FFacmwDD+PtPovizUYLbDeh0WETNW1DX8HqfFgmsOVf18X76peUH374IXshLCwsZG88oJgGq6FKFpVcqPrdVxcy4Syc3xKxrW1GQi2/evXqmTNn2v87hb399tude/n+++9DRxKmO+8u2m5lKjnanqJ7sMLDnot1l97i2tz58Pr16+HN8a1btwqGUXxJYKxLwcIDt1+clHzjoe3bvXv3F198Ec0v02ANvILVuUDJK1jbWqXka6HfZjsNPEpLjq1z+fwKVljxxTRY7aES2u+wLNmOFI9/YGD7va5LXsEqecAcOXLk0qVLhw4dKnn/GQ2nwWqokkUlnByz01NosPbu3ZvNDGfezr9qXb58+fjx41kZuH//fvftET0fdgtn4XCWzD659u23377yyiud5+Ww9/xusI8//njoBqvkaHvKPkUYBhB9ivDcuXPZVy2Ed+qtVqu78Yo2np2m83uw8k8RXrlyJUTg7t270eoDt99PmRTMz8+Hri77+1R4XhcvXuzcfnFSBtbpMg1Wdo9R0PMerOwmpPDEwwIffPBB/tfJ6CDs1G+V52yw+m2208CjtOTYOpc/efJkFp9Tp069sAZr4IrFh02n7A9qX3/9ddYe3blzJ0Sme7EoodFIBga23+s6uwcrrNV5D1a0r/IHTHghhJnhLUfP4EDEkdFQJYvKtWvX3njjjfDe9K233sr/RPjll19OTEx0rhLObuFd3a5du6anp/PP2my3wdrY2Ag7ym56+PXXX8N0510dYe+HDx8Ouwgn69CIDN1glRxtP6G/6f4erFBpwqbCFkIZ6Pz+qnbX9aRsZigA2fddBWEiv6eq38Wngu0XK5OCn3/+OVTuycnJEJDwVj40c53bL05KJQ3W559/nn34a3FxMb+vJV8xlPDz589nsfrkk0/yBboPwly/VZ6zweq32U4Dj9KSY+tcPmQ8hD2EKASq4OLldhusnkda+YQWHzaRe/fuZZ8BDAu//fbbPb8HK0poNJIyL/+er+v21q2E4QWbf4qwe1/lD5gw8uyvhD2DAxFHBvDSKE7lPXjwIDQQL3sU9VLwpSophDYx/3I4GMjZDXhpNFgDXbx48ffff9/Y2Oj3d8nGCh1nftPeC/Dtt992flMDDOTsxgs10cvLHlTMIF+YURzzC3blypV9+/ZNTk52fhEr7a1P9X799dcvZl/hQD148GD++VwoQ4MFAFAxDRYAQMU0WAAAFXvJDVb0IeHc0tJS94fhC+YDANRHLa5gRQ1W9nWOj7Z0fp1jv/kAALVSxwYr+kGSmZmZ4vkAALVSxwar30/qDvyp3eJdAADpVNER7By1CMdY4Y889Ptt854/qSvxAPDiqbORWoRj7IVcwapipABAD+pspBbhGCu8Byv/kfZ+84fYBQBQIXU2UotwjPX6FOH6+nrPTxF2zx9iFwBAhdTZSF2+Byu6TarVavX8vqt+88vsqJoRAwBd1NlIU8Ih8QCQjjobaUo4JB4A0lFnI00Jh8QDQDrqbKQp4ZB4AEhHnY00JRwSDwDpqLORpoRD4gEgHXU20pRwSDwApKPORpoSDokHgHTU2UhTwiHxAJCOOhtpSjgkHgDSUWcjTQmHxANAOupspCnhkHgASEedjTQlHBIPAOmos5GdHI6xP3vZwwGAHUudjTQlHBIPAOmos5GmhEPiASAddTbSlHBIPACko85GmhIOiQeAdNTZSFPCIfEAkI46G2lKOCQeANJRZyNNCYfEA0A66mykKeGQeABIR52NNCUcEg8A6aizkaaEQ+IBIB11NtKUcEg8AKSjzkaaEg6JB4B01NlIU8Ih8QCQjjobqWM41tbWjh07NrklTDx48CD/r6Wlpd1bWq3WtrYp8QCQjjobqWM4pqenP/vss2dblpeXjxw5ks1fWVmZnZ19tGVubi48LL9NiQeAdNTZSB3DsWvXrs6HExMT2UTorlZXV7PpMDEzM1N+mxIPAOmos5E6huPkyZPLy8ubWy5duhQeZvMnJyfDnGw6TISH5bcp8QCQjjobqWM4Hj58eOjQobEtYeK3337L5kfJGx8fj1YcK/SCRg8AzaPORuoYjqNHjy4vL+f3YM3Pz2fzXcECgHpSZyN1DEd0aSp/GN2DFR6W36bEA0A66mykjuE4cuTIpUuX8nuwok8Rrq+v+xQhANSKOhupYzju378/Pz8/sSVMhIf5f7VaLd+DBQB1o85GmhIOiQeAdNTZSFPCIfEAkI46G2lKOCQeANJRZyNNCYfEA0A66mykKeGQeABIR52NNCUcEg8A6aizkaaEQ+IBIB11NtKUcEg8AKSjzkaaEg6JB4B01NlIU8Ih8QCQjjobaUo4JB4A0lFnI00Jh8QDQDrqbKQp4ZB4AEhHnY3s5HCM/dnLHg4A7FjqbKQp4ZB4AEhHnY00JRwSDwDpqLORpoRD4gEgHXU20pRwSDwApKPORpoSDokHgHTU2UhTwiHxAJCOOhtpSjgkHgDSUWcjTQmHxANAOupspCnhkHgASEedjTQlHBIPAOmos5GmhEPiASAddTbSlHBIPACko85GmhIOiQeAdNTZSFPCIfEAkI46G6lpOO7cuXP06NHJyckDBw5cvXo1n7+0tLR7S6vV2tYGJR4A0lFnI3UMx927dw8fPnzjxo3Nzc319fXz589n81dWVmZnZx9tmZubCw/Lb1PiASAddTZSx3AsLCx0XrXKhe5qdXU1mw4TMzMz5bcp8QCQjjobqWM49uzZ89VXX+3fv39iYuLUqVMbGxvZ/MnJyc3NzWw6TISH5bcp8QCQjjobqWM4QpIWFxefPn365MmTs2fPfvTRR/n8zsXGx8e7VyzwgkYPAM2jzkbqGI7JycnQWmXToc2amJjI57uCBQA1pM5G6hiOubm5zgYrb6Sie7DCw/LblHgASEedjdQxHFevXj179uyTLYuLi6dPn87mZ58iXF9f9ylCAKgVdTZS03AsLy/v3bt3YmLiww8/zG9yD1qtlu/BAoC6UWcjTQmHxANAOupspCnhkHgASEedjTQlHBIPAOmos5GmhEPiASAddTZSWTgWFhampqZCfPfs2XPmzJmqNlsViQeAdNTZSDXhOHny5AcffPD777+H6fDv8ePH869frwmJB4B01NlINeEYHx9/+vRp/rDz69drQuIBIB11NlJNOEI7lX/3evvPX79eExIPAOmos5FqwnHixImjR48+fvw4TId/5+fnP/7440q2XBWJB4B01NlIZeFYXFzcvXv3rl27pqamzp07V9VmqyLxAJCOOhtpSjgkHgDSUWcjTQmHxANAOupspJpwrK2t7du3LwR31/+Mj49XsuWqSDwApKPORqoJx/79+7/55pvNzc1KtlaVsT972cMBgB1LnY1UE44Q1rp1VxGJB4B01NlINeHYs2dP5/dg1ZDEA0A66mykmnB8+eWXCwsLz549q2RrKUg8AKSjzkaGD8euQm5yB4DmUGcjTQmHxANAOupspJpw7Nq1q5LtpCPxAJCOOhupJhxTU1NPnz6tZFOJSDwApKPORqoJx+XLlxcWFv74449KtpaCxANAOupspLI/EbrJHQAaS52NNCUcEg8A6aizkaaEQ+IBIB11NtKUcEg8AKSjzkaaEg6JB4B01NlIfcOxsbFx6NChKGFLS0u7t7RarW1tTeIBIB11NlLfcFy4cOHy5cudCVtZWZmdnX20ZW5uLjwsvzWJB4B01NlITcNx7969w4cPP3v2rDNhobtaXV3NpsPEzMxM+Q1KPACko85GahqO48ePX7t2rf3nhE1OTm5ubmbTYSI8LL9BiQeAdNTZSB3DcfPmzXfffTeb7kxYlLzu7zIdK5R62ADQWOpspI7hmJ6e/uWXX7JpV7AAoP7U2Ugdw9Hv4lN0D1Z4uK1tVj9QAGCLOhupezi6P0W4vr7uU4QAUCvqbKTu4YgS1mq1fA8WANSNOhtpSjgkHgDSUWcjTQmHxANAOupspCnhkHgASEedjTQlHBIPAOmos5GmhEPiASAddTbSlHBIPACko85GmhIOiQeAdNTZSFPCIfEAkI46G2lKOCQeANJRZyNNCYfEA0A66mykKeGQeABIR52NNCUcEg8A6aizkaaEQ+IBIB11NtKUcEg8AKSjzkZ2cjjG/uxlDwcAdix1NtKUcEg8AKSjzkaaEg6JB4B01NlIU8Ih8QCQjjobaUo4JB4A0lFnI00Jh8QDQDrqbKQp4ZB4AEhHnY00JRwSDwDpqLORpoRD4gEgHXU20pRwSDwApKPORpoSDokHgHTU2UhTwiHxAJCOOhtpSjgkHgDSUWcjTQmHxANAOupspI7h+Omnn+bn5ycmJqamps6cObO+vp7/19LS0u4trVZrW9uUeABIR52N1DEcx44d+/HHHzc3N588efLpp5+GZiubv7KyMjs7+2jL3NxceFh+mxIPAOmos5G6hyO0WePj49l06K5WV1ez6TAxMzNTfjsSDwDpqLORuofjxo0b+RWsycnJ0G9l02EiPCy/HYkHgHTU2Uitw3Hnzp0333xzbW0texglL7+ylRsr9IIGDQDNo85G6huOmzdvvvbaa7dv387nuIIFAPWkzkZqGo7r168fPHjw1q1bnTOje7DCw/IblHgASEedjdQxHFeuXDlw4MDdu3ej+dmnCNfX132KEABqRZ2N1DEcBbdPtVot34MFAHWjzkaaEg6JB4B01NlIU8Ih8QCQjjobaUo4JB4A0lFnI00Jh8QDQDrqbKQp4ZB4AEhHnY00JRwSDwDpqLORpoRD4gEgHXU20pRwSDwApKPORpoSDokHgHTU2UhTwiHxAJCOOhtpSjgkHgDSUWcjTQmHxANAOupspCnhkHgASEedjezkcIz92cseDgDsWOpspCnhkHgASEedjTQlHBIPAOmos5GmhEPiASAddTbSlHBIPACko85GmhIOiQeAdNTZSFPCIfEAkI46G2lKOCQeANJRZyNNCYfEA0A66mykKeGQeABIR52NNCUcEg8A6aizkaaEQ+IBIB11NtKUcEg8AKSjzkaaEg6JB4B01NlIU8Ih8QCQjjobGbFwLC0t7d7SarW2taLEA0A66mxklMKxsrIyOzv7aMvc3Fx4WH5diQeAdNTZyCiFI3RXq6ur2XSYmJmZKb+uxANAOupsZJTCMTk5ubm5mU2HifCw/LoSDwDpqLORUQpHlLzx8fHuBQCAl+IFdgQjYJTC8TxXsNr1bq7rPLZ2vYdX57G16z28Oo+tbXjPoc5ja9d7eHUeW9vwRs0ohSO6Bys83Nbqdc59ncfWrvfw6jy2dr2HV+extQ3vOdR5bO16D6/OY2sb3qgZpXBknyJcX18f4lOE7Xrnvs5ja9d7eHUeW7vew6vz2NqG9xzqPLZ2vYdX57G1DW/UjFg4Wq3WcN+D1a537us8tna9h1fnsbXrPbw6j61teM+hzmNr13t4dR5b2/BGTYPCIfdDE7qhCd3QhG5oQjc0oXseohdpUDjkfmhCNzShG5rQDU3ohiZ0z0P0Ig0Kh9wPTeiGJnRDE7qhCd3QhO55iF6kQeGQ+6EJ3dCEbmhCNzShG5rQPQ/RizQoHHI/NKEbmtANTeiGJnRDE7rnIXoR4QAAqJgGCwCgYhosAICKabAAACqmwQIAqJgGCwCgYhosAICKjXCDtbS01POHn/vNr2rdHaDn0/zpp5/m5+cnJiampqbOnDmzvr5eft2C+TtMwdPc2Ng4dOhQwTfBCF3Pp3nnzp2jR49OTk4eOHDg6tWr21q3yaFbW1s7duzY5JYw8eDBg/LrFszfYcb+J5qvTJTRM3oqRXmj2mCtrKzMzs4+2jI3NxceFs+vat0doN/TDOfoH3/8cXNz88mTJ59++ml4CZVft+Ghy1y4cOHy5cv9Giyh6/k07969e/jw4Rs3boQDL5ypz58/X37dhoduenr6s88+e7ZleXn5yJEj5ddtSOhy0atSmdiWKHoqRXmj2mCFJK2urmbTYWJmZqZ4frvjKBli3Z2kzNMML57x8fH8odBlCp7mvXv3QqMQSl10MhK6TL+nubCw0O+qldBl+j3NXbt2dS42MTGRTwtdJHpVKhPbUnBVXqUoNqoN1uTkZEhtNh0mwsPi+e2O3A+x7k5S5mneuHGj832J0GUKnubx48evXbvW7joZCV2m39Pcs2fPV199tX///tAfnDp1amNjI19F6DL9nubJkyeXl5c3t1y6dCk8zFcRukj0qlQmtqWgwVIpio1qgxWlPG+i+82vat0dYODTvHPnzptvvrm2tlZ+3YaH7ubNm++++27PZQau2/DQhfmLi4tPnz598uTJ2bNnP/roo22t23P+DtPvaT58+DC75y8IE7/99lv5dRsSuly/tz0ZZaJYv3OaSjHQqDZYz9MgN7y5Ln6aoVd47bXXbt++va11Gx666enpX375JZvudzISun5PP7RW2XRoszr/zlVm3SaH7ujRo8vLy/k9WD1vhWl46HLlr2ANXKZpoWv3OaepFGWMaoMV/Sk3PCyeX9W6O0DB07x+/frBgwdv3bq13XUbHrqxLuXXbXjo5ubmOhusnidcoev5NKN3/z0vBjQ8dLnie7CUiWLdJzSVoqRRbbCyDyOsr6/3/JBC9/x2x1EyxLo7Sb+neeXKlQMHDty9e7d7FaHLlHma/f4YIXQ9n+bVq1fPnj37ZMvi4uLp06fzVYQu0+9pHjly5NKlS/k9WJ2fIhS6SM9PESoTJUXRUynKG9UGK2i1Wj2/TqPf/M6jZLvr7jA9n2bBZRihyw18mgV3ewhdz6e5vLy8d+/eiYmJDz/8sOdN7gXrNjl09+/fz76OKAgT4WH+X0KX63dOUybK6Bk9laK8EW6wAADqSYMFAFAxDRYAQMU0WAAAFRvVBqvg9yb7/ZZkz4/QD/x0ffHqBfPLLFZ+7wDACBnVot7v9yYH/pZkwYe8yui3fMntPOfeAYCRsBMKfOfvTQ78LUkNFgCQ2k4o8J2/Nznwm/i7W5w9e/aE/uz1119fXl4euK/KG6xt7R0AGAkj32BFvzcZdTDdPx/RrxO6d+/e+++/f/HixeLdVdtgbXfvAMBIGO0Gq/v3Jrd7BavT48ePd+/enS/W75b2nuv2u3t9uL0DACNthBusnr83OfC3JJ+zxUl0Bavk3gGAkTCqDVa/35sc+FuSUYuzsLCQ/YbXw4cPT5w4ce7cueL9VttgbXfvAMBIGNUGq+D3Jgt+xbN7+evXr09PT4eHr7766sWLF588eVJyjwPnl1m9/N4BgBEyqg0WAEBtabAAACqmwQIAqJgGCwCgYhosAICKabAAACqmwQIAqJgGCwCgYhosAICKabAAACqmwQIAqJgGCwCgYhosAICKabAAACqmwQIAqJgGCwCgYhosAICKabAAACqmwQIAqJgGCwCgYhosAICKabAAACqmwQIAqJgGCwCgYhosAICKabAAACr2/2JpPBnf6/qZAAAAAElFTkSuQmCC)
| VMR Tools created by Darren De Zeeuw. |